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Helsinki-NLP/opus-mt-en-pap
2021-01-18T08:14:12.000Z
[ "pytorch", "marian", "seq2seq", "en", "pap", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
41
transformers
--- tags: - translation --- ### opus-mt-en-pap * source languages: en * target languages: pap * OPUS readme: [en-pap](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-pap/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-pap/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-pap/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-pap/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.en.pap | 40.1 | 0.586 | | Tatoeba.en.pap | 52.8 | 0.665 |
Helsinki-NLP/opus-mt-en-phi
2021-01-18T08:14:18.000Z
[ "pytorch", "marian", "seq2seq", "en", "phi", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
39
transformers
--- language: - en - phi tags: - translation license: apache-2.0 --- ### eng-phi * source group: English * target group: Philippine languages * OPUS readme: [eng-phi](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-phi/README.md) * model: transformer * source language(s): eng * target language(s): akl_Latn ceb hil ilo pag war * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-phi/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-phi/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-phi/opus2m-2020-08-01.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.eng-akl.eng.akl | 7.1 | 0.245 | | Tatoeba-test.eng-ceb.eng.ceb | 10.5 | 0.435 | | Tatoeba-test.eng-hil.eng.hil | 18.0 | 0.506 | | Tatoeba-test.eng-ilo.eng.ilo | 33.4 | 0.590 | | Tatoeba-test.eng.multi | 13.1 | 0.392 | | Tatoeba-test.eng-pag.eng.pag | 19.4 | 0.481 | | Tatoeba-test.eng-war.eng.war | 12.8 | 0.441 | ### System Info: - hf_name: eng-phi - source_languages: eng - target_languages: phi - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-phi/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'phi'] - src_constituents: {'eng'} - tgt_constituents: {'ilo', 'akl_Latn', 'war', 'hil', 'pag', 'ceb'} - src_multilingual: False - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-phi/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-phi/opus2m-2020-08-01.test.txt - src_alpha3: eng - tgt_alpha3: phi - short_pair: en-phi - chrF2_score: 0.392 - bleu: 13.1 - brevity_penalty: 1.0 - ref_len: 30022.0 - src_name: English - tgt_name: Philippine languages - train_date: 2020-08-01 - src_alpha2: en - tgt_alpha2: phi - prefer_old: False - long_pair: eng-phi - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-en-pis
2021-01-18T08:14:24.000Z
[ "pytorch", "marian", "seq2seq", "en", "pis", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
64
transformers
--- tags: - translation --- ### opus-mt-en-pis * source languages: en * target languages: pis * OPUS readme: [en-pis](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-pis/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-pis/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-pis/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-pis/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.en.pis | 38.3 | 0.571 |
Helsinki-NLP/opus-mt-en-pon
2021-01-18T08:14:30.000Z
[ "pytorch", "marian", "seq2seq", "en", "pon", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
69
transformers
--- tags: - translation --- ### opus-mt-en-pon * source languages: en * target languages: pon * OPUS readme: [en-pon](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-pon/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-pon/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-pon/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-pon/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.en.pon | 32.4 | 0.542 |
Helsinki-NLP/opus-mt-en-poz
2021-01-18T08:14:37.000Z
[ "pytorch", "marian", "seq2seq", "en", "poz", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
33
transformers
--- language: - en - poz tags: - translation license: apache-2.0 --- ### eng-poz * source group: English * target group: Malayo-Polynesian languages * OPUS readme: [eng-poz](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-poz/README.md) * model: transformer * source language(s): eng * target language(s): akl_Latn ceb cha dtp fij gil haw hil iba ilo ind jav jav_Java lkt mad mah max_Latn min mlg mri nau niu pag pau rap smo sun tah tet tmw_Latn ton tvl war zlm_Latn zsm_Latn * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-poz/opus-2020-07-27.zip) * test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-poz/opus-2020-07-27.test.txt) * test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-poz/opus-2020-07-27.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.eng-akl.eng.akl | 1.3 | 0.086 | | Tatoeba-test.eng-ceb.eng.ceb | 10.2 | 0.426 | | Tatoeba-test.eng-cha.eng.cha | 1.9 | 0.196 | | Tatoeba-test.eng-dtp.eng.dtp | 0.4 | 0.121 | | Tatoeba-test.eng-fij.eng.fij | 31.0 | 0.463 | | Tatoeba-test.eng-gil.eng.gil | 45.4 | 0.635 | | Tatoeba-test.eng-haw.eng.haw | 0.6 | 0.104 | | Tatoeba-test.eng-hil.eng.hil | 14.4 | 0.498 | | Tatoeba-test.eng-iba.eng.iba | 17.4 | 0.414 | | Tatoeba-test.eng-ilo.eng.ilo | 33.1 | 0.585 | | Tatoeba-test.eng-jav.eng.jav | 6.5 | 0.309 | | Tatoeba-test.eng-lkt.eng.lkt | 0.5 | 0.065 | | Tatoeba-test.eng-mad.eng.mad | 1.7 | 0.156 | | Tatoeba-test.eng-mah.eng.mah | 12.7 | 0.391 | | Tatoeba-test.eng-mlg.eng.mlg | 30.3 | 0.504 | | Tatoeba-test.eng-mri.eng.mri | 8.2 | 0.316 | | Tatoeba-test.eng-msa.eng.msa | 30.4 | 0.561 | | Tatoeba-test.eng.multi | 16.2 | 0.410 | | Tatoeba-test.eng-nau.eng.nau | 0.6 | 0.087 | | Tatoeba-test.eng-niu.eng.niu | 33.2 | 0.482 | | Tatoeba-test.eng-pag.eng.pag | 19.4 | 0.555 | | Tatoeba-test.eng-pau.eng.pau | 1.0 | 0.124 | | Tatoeba-test.eng-rap.eng.rap | 1.4 | 0.090 | | Tatoeba-test.eng-smo.eng.smo | 12.9 | 0.407 | | Tatoeba-test.eng-sun.eng.sun | 15.5 | 0.364 | | Tatoeba-test.eng-tah.eng.tah | 9.5 | 0.295 | | Tatoeba-test.eng-tet.eng.tet | 1.2 | 0.146 | | Tatoeba-test.eng-ton.eng.ton | 23.7 | 0.484 | | Tatoeba-test.eng-tvl.eng.tvl | 32.5 | 0.549 | | Tatoeba-test.eng-war.eng.war | 12.6 | 0.432 | ### System Info: - hf_name: eng-poz - source_languages: eng - target_languages: poz - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-poz/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'poz'] - src_constituents: {'eng'} - tgt_constituents: set() - src_multilingual: False - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-poz/opus-2020-07-27.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-poz/opus-2020-07-27.test.txt - src_alpha3: eng - tgt_alpha3: poz - short_pair: en-poz - chrF2_score: 0.41 - bleu: 16.2 - brevity_penalty: 1.0 - ref_len: 66803.0 - src_name: English - tgt_name: Malayo-Polynesian languages - train_date: 2020-07-27 - src_alpha2: en - tgt_alpha2: poz - prefer_old: False - long_pair: eng-poz - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-en-pqe
2021-01-18T08:14:43.000Z
[ "pytorch", "marian", "seq2seq", "en", "fj", "mi", "ty", "to", "na", "sm", "mh", "pqe", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
36
transformers
--- language: - en - fj - mi - ty - to - na - sm - mh - pqe tags: - translation license: apache-2.0 --- ### eng-pqe * source group: English * target group: Eastern Malayo-Polynesian languages * OPUS readme: [eng-pqe](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-pqe/README.md) * model: transformer * source language(s): eng * target language(s): fij gil haw lkt mah mri nau niu rap smo tah ton tvl * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqe/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqe/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqe/opus2m-2020-08-01.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.eng-fij.eng.fij | 22.1 | 0.396 | | Tatoeba-test.eng-gil.eng.gil | 41.9 | 0.673 | | Tatoeba-test.eng-haw.eng.haw | 0.6 | 0.114 | | Tatoeba-test.eng-lkt.eng.lkt | 0.5 | 0.075 | | Tatoeba-test.eng-mah.eng.mah | 9.7 | 0.386 | | Tatoeba-test.eng-mri.eng.mri | 7.7 | 0.301 | | Tatoeba-test.eng.multi | 11.3 | 0.306 | | Tatoeba-test.eng-nau.eng.nau | 0.5 | 0.071 | | Tatoeba-test.eng-niu.eng.niu | 42.5 | 0.560 | | Tatoeba-test.eng-rap.eng.rap | 3.3 | 0.122 | | Tatoeba-test.eng-smo.eng.smo | 27.0 | 0.462 | | Tatoeba-test.eng-tah.eng.tah | 11.3 | 0.307 | | Tatoeba-test.eng-ton.eng.ton | 27.0 | 0.528 | | Tatoeba-test.eng-tvl.eng.tvl | 29.3 | 0.513 | ### System Info: - hf_name: eng-pqe - source_languages: eng - target_languages: pqe - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-pqe/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'fj', 'mi', 'ty', 'to', 'na', 'sm', 'mh', 'pqe'] - src_constituents: {'eng'} - tgt_constituents: {'haw', 'gil', 'rap', 'fij', 'tvl', 'mri', 'tah', 'niu', 'ton', 'nau', 'smo', 'mah'} - src_multilingual: False - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqe/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqe/opus2m-2020-08-01.test.txt - src_alpha3: eng - tgt_alpha3: pqe - short_pair: en-pqe - chrF2_score: 0.306 - bleu: 11.3 - brevity_penalty: 1.0 - ref_len: 5786.0 - src_name: English - tgt_name: Eastern Malayo-Polynesian languages - train_date: 2020-08-01 - src_alpha2: en - tgt_alpha2: pqe - prefer_old: False - long_pair: eng-pqe - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-en-pqw
2021-01-18T08:14:49.000Z
[ "pytorch", "marian", "seq2seq", "en", "pqw", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
34
transformers
--- language: - en - pqw tags: - translation license: apache-2.0 --- ### eng-pqw * source group: English * target group: Western Malayo-Polynesian languages * OPUS readme: [eng-pqw](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-pqw/README.md) * model: transformer * source language(s): eng * target language(s): akl_Latn ceb cha dtp hil iba ilo ind jav jav_Java mad max_Latn min mlg pag pau sun tmw_Latn war zlm_Latn zsm_Latn * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqw/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqw/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqw/opus2m-2020-08-01.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.eng-akl.eng.akl | 3.0 | 0.143 | | Tatoeba-test.eng-ceb.eng.ceb | 11.4 | 0.432 | | Tatoeba-test.eng-cha.eng.cha | 1.4 | 0.189 | | Tatoeba-test.eng-dtp.eng.dtp | 0.6 | 0.139 | | Tatoeba-test.eng-hil.eng.hil | 17.7 | 0.525 | | Tatoeba-test.eng-iba.eng.iba | 14.6 | 0.365 | | Tatoeba-test.eng-ilo.eng.ilo | 34.0 | 0.590 | | Tatoeba-test.eng-jav.eng.jav | 6.2 | 0.299 | | Tatoeba-test.eng-mad.eng.mad | 2.6 | 0.154 | | Tatoeba-test.eng-mlg.eng.mlg | 34.3 | 0.518 | | Tatoeba-test.eng-msa.eng.msa | 31.1 | 0.561 | | Tatoeba-test.eng.multi | 17.5 | 0.422 | | Tatoeba-test.eng-pag.eng.pag | 19.8 | 0.507 | | Tatoeba-test.eng-pau.eng.pau | 1.2 | 0.129 | | Tatoeba-test.eng-sun.eng.sun | 30.3 | 0.418 | | Tatoeba-test.eng-war.eng.war | 12.6 | 0.439 | ### System Info: - hf_name: eng-pqw - source_languages: eng - target_languages: pqw - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-pqw/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'pqw'] - src_constituents: {'eng'} - tgt_constituents: set() - src_multilingual: False - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqw/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqw/opus2m-2020-08-01.test.txt - src_alpha3: eng - tgt_alpha3: pqw - short_pair: en-pqw - chrF2_score: 0.42200000000000004 - bleu: 17.5 - brevity_penalty: 1.0 - ref_len: 66758.0 - src_name: English - tgt_name: Western Malayo-Polynesian languages - train_date: 2020-08-01 - src_alpha2: en - tgt_alpha2: pqw - prefer_old: False - long_pair: eng-pqw - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-en-rn
2021-01-18T08:14:53.000Z
[ "pytorch", "marian", "seq2seq", "en", "rn", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
37
transformers
--- language: - en - rn tags: - translation license: apache-2.0 --- ### eng-run * source group: English * target group: Rundi * OPUS readme: [eng-run](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-run/README.md) * model: transformer-align * source language(s): eng * target language(s): run * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-run/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-run/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-run/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.eng.run | 10.4 | 0.436 | ### System Info: - hf_name: eng-run - source_languages: eng - target_languages: run - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-run/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'rn'] - src_constituents: {'eng'} - tgt_constituents: {'run'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-run/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-run/opus-2020-06-16.test.txt - src_alpha3: eng - tgt_alpha3: run - short_pair: en-rn - chrF2_score: 0.436 - bleu: 10.4 - brevity_penalty: 1.0 - ref_len: 6710.0 - src_name: English - tgt_name: Rundi - train_date: 2020-06-16 - src_alpha2: en - tgt_alpha2: rn - prefer_old: False - long_pair: eng-run - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-en-rnd
2021-01-18T08:14:59.000Z
[ "pytorch", "marian", "seq2seq", "en", "rnd", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
50
transformers
--- tags: - translation --- ### opus-mt-en-rnd * source languages: en * target languages: rnd * OPUS readme: [en-rnd](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-rnd/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-rnd/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-rnd/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-rnd/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.en.rnd | 34.5 | 0.571 |
Helsinki-NLP/opus-mt-en-ro
2021-01-18T08:15:05.000Z
[ "pytorch", "marian", "seq2seq", "en", "ro", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
5,339
transformers
--- tags: - translation --- ### opus-mt-en-ro * source languages: en * target languages: ro * OPUS readme: [en-ro](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ro/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ro/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ro/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ro/opus-2019-12-18.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | newsdev2016-enro.en.ro | 30.8 | 0.592 | | newstest2016-enro.en.ro | 28.8 | 0.571 | | Tatoeba.en.ro | 45.3 | 0.670 |
Helsinki-NLP/opus-mt-en-roa
2021-01-18T08:15:13.000Z
[ "pytorch", "rust", "marian", "seq2seq", "en", "it", "ca", "rm", "es", "ro", "gl", "co", "wa", "pt", "oc", "an", "id", "fr", "ht", "roa", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "rust_model.ot", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
874
transformers
--- language: - en - it - ca - rm - es - ro - gl - co - wa - pt - oc - an - id - fr - ht - roa tags: - translation license: apache-2.0 --- ### eng-roa * source group: English * target group: Romance languages * OPUS readme: [eng-roa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-roa/README.md) * model: transformer * source language(s): eng * target language(s): arg ast cat cos egl ext fra frm_Latn gcf_Latn glg hat ind ita lad lad_Latn lij lld_Latn lmo max_Latn mfe min mwl oci pap pms por roh ron scn spa tmw_Latn vec wln zlm_Latn zsm_Latn * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-roa/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-roa/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-roa/opus2m-2020-08-01.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | newsdev2016-enro-engron.eng.ron | 27.6 | 0.567 | | newsdiscussdev2015-enfr-engfra.eng.fra | 30.2 | 0.575 | | newsdiscusstest2015-enfr-engfra.eng.fra | 35.5 | 0.612 | | newssyscomb2009-engfra.eng.fra | 27.9 | 0.570 | | newssyscomb2009-engita.eng.ita | 29.3 | 0.590 | | newssyscomb2009-engspa.eng.spa | 29.6 | 0.570 | | news-test2008-engfra.eng.fra | 25.2 | 0.538 | | news-test2008-engspa.eng.spa | 27.3 | 0.548 | | newstest2009-engfra.eng.fra | 26.9 | 0.560 | | newstest2009-engita.eng.ita | 28.7 | 0.583 | | newstest2009-engspa.eng.spa | 29.0 | 0.568 | | newstest2010-engfra.eng.fra | 29.3 | 0.574 | | newstest2010-engspa.eng.spa | 34.2 | 0.601 | | newstest2011-engfra.eng.fra | 31.4 | 0.592 | | newstest2011-engspa.eng.spa | 35.0 | 0.599 | | newstest2012-engfra.eng.fra | 29.5 | 0.576 | | newstest2012-engspa.eng.spa | 35.5 | 0.603 | | newstest2013-engfra.eng.fra | 29.9 | 0.567 | | newstest2013-engspa.eng.spa | 32.1 | 0.578 | | newstest2016-enro-engron.eng.ron | 26.1 | 0.551 | | Tatoeba-test.eng-arg.eng.arg | 1.4 | 0.125 | | Tatoeba-test.eng-ast.eng.ast | 17.8 | 0.406 | | Tatoeba-test.eng-cat.eng.cat | 48.3 | 0.676 | | Tatoeba-test.eng-cos.eng.cos | 3.2 | 0.275 | | Tatoeba-test.eng-egl.eng.egl | 0.2 | 0.084 | | Tatoeba-test.eng-ext.eng.ext | 11.2 | 0.344 | | Tatoeba-test.eng-fra.eng.fra | 45.3 | 0.637 | | Tatoeba-test.eng-frm.eng.frm | 1.1 | 0.221 | | Tatoeba-test.eng-gcf.eng.gcf | 0.6 | 0.118 | | Tatoeba-test.eng-glg.eng.glg | 44.2 | 0.645 | | Tatoeba-test.eng-hat.eng.hat | 28.0 | 0.502 | | Tatoeba-test.eng-ita.eng.ita | 45.6 | 0.674 | | Tatoeba-test.eng-lad.eng.lad | 8.2 | 0.322 | | Tatoeba-test.eng-lij.eng.lij | 1.4 | 0.182 | | Tatoeba-test.eng-lld.eng.lld | 0.8 | 0.217 | | Tatoeba-test.eng-lmo.eng.lmo | 0.7 | 0.190 | | Tatoeba-test.eng-mfe.eng.mfe | 91.9 | 0.956 | | Tatoeba-test.eng-msa.eng.msa | 31.1 | 0.548 | | Tatoeba-test.eng.multi | 42.9 | 0.636 | | Tatoeba-test.eng-mwl.eng.mwl | 2.1 | 0.234 | | Tatoeba-test.eng-oci.eng.oci | 7.9 | 0.297 | | Tatoeba-test.eng-pap.eng.pap | 44.1 | 0.648 | | Tatoeba-test.eng-pms.eng.pms | 2.1 | 0.190 | | Tatoeba-test.eng-por.eng.por | 41.8 | 0.639 | | Tatoeba-test.eng-roh.eng.roh | 3.5 | 0.261 | | Tatoeba-test.eng-ron.eng.ron | 41.0 | 0.635 | | Tatoeba-test.eng-scn.eng.scn | 1.7 | 0.184 | | Tatoeba-test.eng-spa.eng.spa | 50.1 | 0.689 | | Tatoeba-test.eng-vec.eng.vec | 3.2 | 0.248 | | Tatoeba-test.eng-wln.eng.wln | 7.2 | 0.220 | ### System Info: - hf_name: eng-roa - source_languages: eng - target_languages: roa - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-roa/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'it', 'ca', 'rm', 'es', 'ro', 'gl', 'co', 'wa', 'pt', 'oc', 'an', 'id', 'fr', 'ht', 'roa'] - src_constituents: {'eng'} - tgt_constituents: {'ita', 'cat', 'roh', 'spa', 'pap', 'lmo', 'mwl', 'lij', 'lad_Latn', 'ext', 'ron', 'ast', 'glg', 'pms', 'zsm_Latn', 'gcf_Latn', 'lld_Latn', 'min', 'tmw_Latn', 'cos', 'wln', 'zlm_Latn', 'por', 'egl', 'oci', 'vec', 'arg', 'ind', 'fra', 'hat', 'lad', 'max_Latn', 'frm_Latn', 'scn', 'mfe'} - src_multilingual: False - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-roa/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-roa/opus2m-2020-08-01.test.txt - src_alpha3: eng - tgt_alpha3: roa - short_pair: en-roa - chrF2_score: 0.636 - bleu: 42.9 - brevity_penalty: 0.978 - ref_len: 72751.0 - src_name: English - tgt_name: Romance languages - train_date: 2020-08-01 - src_alpha2: en - tgt_alpha2: roa - prefer_old: False - long_pair: eng-roa - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-en-ru
2021-01-18T08:15:18.000Z
[ "pytorch", "rust", "marian", "seq2seq", "en", "ru", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "rust_model.ot", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
3,243
transformers
--- tags: - translation --- ### opus-mt-en-ru * source languages: en * target languages: ru * OPUS readme: [en-ru](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ru/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-02-11.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ru/opus-2020-02-11.zip) * test set translations: [opus-2020-02-11.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ru/opus-2020-02-11.test.txt) * test set scores: [opus-2020-02-11.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ru/opus-2020-02-11.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | newstest2012.en.ru | 31.1 | 0.581 | | newstest2013.en.ru | 23.5 | 0.513 | | newstest2015-enru.en.ru | 27.5 | 0.564 | | newstest2016-enru.en.ru | 26.4 | 0.548 | | newstest2017-enru.en.ru | 29.1 | 0.572 | | newstest2018-enru.en.ru | 25.4 | 0.554 | | newstest2019-enru.en.ru | 27.1 | 0.533 | | Tatoeba.en.ru | 48.4 | 0.669 |
Helsinki-NLP/opus-mt-en-run
2021-01-18T08:15:24.000Z
[ "pytorch", "marian", "seq2seq", "en", "run", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
57
transformers
--- tags: - translation --- ### opus-mt-en-run * source languages: en * target languages: run * OPUS readme: [en-run](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-run/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-run/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-run/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-run/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.en.run | 34.2 | 0.591 |
Helsinki-NLP/opus-mt-en-rw
2021-01-18T08:15:30.000Z
[ "pytorch", "marian", "seq2seq", "en", "rw", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
58
transformers
--- tags: - translation --- ### opus-mt-en-rw * source languages: en * target languages: rw * OPUS readme: [en-rw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-rw/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-rw/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-rw/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-rw/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.en.rw | 33.3 | 0.569 | | Tatoeba.en.rw | 13.8 | 0.503 |
Helsinki-NLP/opus-mt-en-sal
2021-01-18T08:15:34.000Z
[ "pytorch", "marian", "seq2seq", "en", "sal", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
38
transformers
--- language: - en - sal tags: - translation license: apache-2.0 --- ### eng-sal * source group: English * target group: Salishan languages * OPUS readme: [eng-sal](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-sal/README.md) * model: transformer * source language(s): eng * target language(s): shs_Latn * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-07-14.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sal/opus-2020-07-14.zip) * test set translations: [opus-2020-07-14.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sal/opus-2020-07-14.test.txt) * test set scores: [opus-2020-07-14.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sal/opus-2020-07-14.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.eng.multi | 32.6 | 0.585 | | Tatoeba-test.eng.shs | 1.1 | 0.072 | | Tatoeba-test.eng-shs.eng.shs | 1.2 | 0.065 | ### System Info: - hf_name: eng-sal - source_languages: eng - target_languages: sal - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-sal/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'sal'] - src_constituents: {'eng'} - tgt_constituents: {'shs_Latn'} - src_multilingual: False - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sal/opus-2020-07-14.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sal/opus-2020-07-14.test.txt - src_alpha3: eng - tgt_alpha3: sal - short_pair: en-sal - chrF2_score: 0.07200000000000001 - bleu: 1.1 - brevity_penalty: 1.0 - ref_len: 199.0 - src_name: English - tgt_name: Salishan languages - train_date: 2020-07-14 - src_alpha2: en - tgt_alpha2: sal - prefer_old: False - long_pair: eng-sal - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-en-sem
2021-01-18T08:15:41.000Z
[ "pytorch", "marian", "seq2seq", "en", "mt", "ar", "he", "ti", "am", "sem", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
37
transformers
--- language: - en - mt - ar - he - ti - am - sem tags: - translation license: apache-2.0 --- ### eng-sem * source group: English * target group: Semitic languages * OPUS readme: [eng-sem](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-sem/README.md) * model: transformer * source language(s): eng * target language(s): acm afb amh apc ara arq ary arz heb mlt tir * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sem/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sem/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sem/opus2m-2020-08-01.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.eng-amh.eng.amh | 11.2 | 0.480 | | Tatoeba-test.eng-ara.eng.ara | 12.7 | 0.417 | | Tatoeba-test.eng-heb.eng.heb | 33.8 | 0.564 | | Tatoeba-test.eng-mlt.eng.mlt | 18.7 | 0.554 | | Tatoeba-test.eng.multi | 23.5 | 0.486 | | Tatoeba-test.eng-tir.eng.tir | 2.7 | 0.248 | ### System Info: - hf_name: eng-sem - source_languages: eng - target_languages: sem - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-sem/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'mt', 'ar', 'he', 'ti', 'am', 'sem'] - src_constituents: {'eng'} - tgt_constituents: {'apc', 'mlt', 'arz', 'ara', 'heb', 'tir', 'arq', 'afb', 'amh', 'acm', 'ary'} - src_multilingual: False - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sem/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sem/opus2m-2020-08-01.test.txt - src_alpha3: eng - tgt_alpha3: sem - short_pair: en-sem - chrF2_score: 0.486 - bleu: 23.5 - brevity_penalty: 1.0 - ref_len: 59258.0 - src_name: English - tgt_name: Semitic languages - train_date: 2020-08-01 - src_alpha2: en - tgt_alpha2: sem - prefer_old: False - long_pair: eng-sem - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-en-sg
2021-01-18T08:15:47.000Z
[ "pytorch", "marian", "seq2seq", "en", "sg", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
39
transformers
--- tags: - translation --- ### opus-mt-en-sg * source languages: en * target languages: sg * OPUS readme: [en-sg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-sg/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-sg/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sg/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sg/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.en.sg | 37.0 | 0.544 |
Helsinki-NLP/opus-mt-en-sit
2021-01-18T08:15:53.000Z
[ "pytorch", "marian", "seq2seq", "en", "sit", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
29
transformers
--- language: - en - sit tags: - translation license: apache-2.0 --- ### eng-sit * source group: English * target group: Sino-Tibetan languages * OPUS readme: [eng-sit](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-sit/README.md) * model: transformer * source language(s): eng * target language(s): bod brx brx_Latn cjy_Hans cjy_Hant cmn cmn_Hans cmn_Hant gan lzh lzh_Hans mya nan wuu yue yue_Hans yue_Hant zho zho_Hans zho_Hant * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sit/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sit/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sit/opus2m-2020-08-01.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | newsdev2017-enzh-engzho.eng.zho | 23.5 | 0.217 | | newstest2017-enzh-engzho.eng.zho | 23.2 | 0.223 | | newstest2018-enzh-engzho.eng.zho | 25.0 | 0.230 | | newstest2019-enzh-engzho.eng.zho | 20.2 | 0.225 | | Tatoeba-test.eng-bod.eng.bod | 0.4 | 0.147 | | Tatoeba-test.eng-brx.eng.brx | 0.5 | 0.012 | | Tatoeba-test.eng.multi | 25.7 | 0.223 | | Tatoeba-test.eng-mya.eng.mya | 0.2 | 0.222 | | Tatoeba-test.eng-zho.eng.zho | 29.2 | 0.249 | ### System Info: - hf_name: eng-sit - source_languages: eng - target_languages: sit - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-sit/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'sit'] - src_constituents: {'eng'} - tgt_constituents: set() - src_multilingual: False - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sit/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sit/opus2m-2020-08-01.test.txt - src_alpha3: eng - tgt_alpha3: sit - short_pair: en-sit - chrF2_score: 0.223 - bleu: 25.7 - brevity_penalty: 0.907 - ref_len: 109538.0 - src_name: English - tgt_name: Sino-Tibetan languages - train_date: 2020-08-01 - src_alpha2: en - tgt_alpha2: sit - prefer_old: False - long_pair: eng-sit - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-en-sk
2021-01-18T08:15:59.000Z
[ "pytorch", "marian", "seq2seq", "en", "sk", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
426
transformers
--- tags: - translation --- ### opus-mt-en-sk * source languages: en * target languages: sk * OPUS readme: [en-sk](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-sk/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-sk/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sk/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sk/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.en.sk | 36.8 | 0.578 |
Helsinki-NLP/opus-mt-en-sla
2021-01-18T08:16:05.000Z
[ "pytorch", "marian", "seq2seq", "en", "be", "hr", "mk", "cs", "ru", "pl", "bg", "uk", "sl", "sla", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
93
transformers
--- language: - en - be - hr - mk - cs - ru - pl - bg - uk - sl - sla tags: - translation license: apache-2.0 --- ### eng-sla * source group: English * target group: Slavic languages * OPUS readme: [eng-sla](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-sla/README.md) * model: transformer * source language(s): eng * target language(s): bel bel_Latn bos_Latn bul bul_Latn ces csb_Latn dsb hrv hsb mkd orv_Cyrl pol rue rus slv srp_Cyrl srp_Latn ukr * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sla/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sla/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sla/opus2m-2020-08-01.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | newssyscomb2009-engces.eng.ces | 20.1 | 0.484 | | news-test2008-engces.eng.ces | 17.7 | 0.461 | | newstest2009-engces.eng.ces | 19.1 | 0.479 | | newstest2010-engces.eng.ces | 19.3 | 0.483 | | newstest2011-engces.eng.ces | 20.4 | 0.486 | | newstest2012-engces.eng.ces | 18.3 | 0.461 | | newstest2012-engrus.eng.rus | 27.4 | 0.551 | | newstest2013-engces.eng.ces | 21.5 | 0.489 | | newstest2013-engrus.eng.rus | 20.9 | 0.490 | | newstest2015-encs-engces.eng.ces | 21.1 | 0.496 | | newstest2015-enru-engrus.eng.rus | 24.5 | 0.536 | | newstest2016-encs-engces.eng.ces | 23.6 | 0.515 | | newstest2016-enru-engrus.eng.rus | 23.0 | 0.519 | | newstest2017-encs-engces.eng.ces | 19.2 | 0.474 | | newstest2017-enru-engrus.eng.rus | 25.0 | 0.541 | | newstest2018-encs-engces.eng.ces | 19.3 | 0.479 | | newstest2018-enru-engrus.eng.rus | 22.3 | 0.526 | | newstest2019-encs-engces.eng.ces | 20.4 | 0.486 | | newstest2019-enru-engrus.eng.rus | 24.0 | 0.506 | | Tatoeba-test.eng-bel.eng.bel | 22.9 | 0.489 | | Tatoeba-test.eng-bul.eng.bul | 46.7 | 0.652 | | Tatoeba-test.eng-ces.eng.ces | 42.7 | 0.624 | | Tatoeba-test.eng-csb.eng.csb | 1.4 | 0.210 | | Tatoeba-test.eng-dsb.eng.dsb | 1.4 | 0.165 | | Tatoeba-test.eng-hbs.eng.hbs | 40.3 | 0.616 | | Tatoeba-test.eng-hsb.eng.hsb | 14.3 | 0.344 | | Tatoeba-test.eng-mkd.eng.mkd | 44.1 | 0.635 | | Tatoeba-test.eng.multi | 41.0 | 0.610 | | Tatoeba-test.eng-orv.eng.orv | 0.3 | 0.014 | | Tatoeba-test.eng-pol.eng.pol | 42.0 | 0.637 | | Tatoeba-test.eng-rue.eng.rue | 0.3 | 0.012 | | Tatoeba-test.eng-rus.eng.rus | 40.5 | 0.612 | | Tatoeba-test.eng-slv.eng.slv | 18.8 | 0.357 | | Tatoeba-test.eng-ukr.eng.ukr | 38.8 | 0.600 | ### System Info: - hf_name: eng-sla - source_languages: eng - target_languages: sla - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-sla/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'be', 'hr', 'mk', 'cs', 'ru', 'pl', 'bg', 'uk', 'sl', 'sla'] - src_constituents: {'eng'} - tgt_constituents: {'bel', 'hrv', 'orv_Cyrl', 'mkd', 'bel_Latn', 'srp_Latn', 'bul_Latn', 'ces', 'bos_Latn', 'csb_Latn', 'dsb', 'hsb', 'rus', 'srp_Cyrl', 'pol', 'rue', 'bul', 'ukr', 'slv'} - src_multilingual: False - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sla/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sla/opus2m-2020-08-01.test.txt - src_alpha3: eng - tgt_alpha3: sla - short_pair: en-sla - chrF2_score: 0.61 - bleu: 41.0 - brevity_penalty: 0.976 - ref_len: 64809.0 - src_name: English - tgt_name: Slavic languages - train_date: 2020-08-01 - src_alpha2: en - tgt_alpha2: sla - prefer_old: False - long_pair: eng-sla - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-en-sm
2021-01-18T08:16:11.000Z
[ "pytorch", "marian", "seq2seq", "en", "sm", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
43
transformers
--- tags: - translation --- ### opus-mt-en-sm * source languages: en * target languages: sm * OPUS readme: [en-sm](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-sm/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-sm/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sm/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sm/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.en.sm | 40.1 | 0.585 |
Helsinki-NLP/opus-mt-en-sn
2021-01-18T08:16:16.000Z
[ "pytorch", "marian", "seq2seq", "en", "sn", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
50
transformers
--- tags: - translation --- ### opus-mt-en-sn * source languages: en * target languages: sn * OPUS readme: [en-sn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-sn/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-sn/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sn/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sn/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.en.sn | 38.0 | 0.646 |
Helsinki-NLP/opus-mt-en-sq
2021-01-18T08:16:21.000Z
[ "pytorch", "marian", "seq2seq", "en", "sq", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
343
transformers
--- tags: - translation --- ### opus-mt-en-sq * source languages: en * target languages: sq * OPUS readme: [en-sq](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-sq/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-sq/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sq/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sq/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.en.sq | 46.5 | 0.669 |
Helsinki-NLP/opus-mt-en-ss
2021-01-18T08:16:27.000Z
[ "pytorch", "marian", "seq2seq", "en", "ss", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
43
transformers
--- tags: - translation --- ### opus-mt-en-ss * source languages: en * target languages: ss * OPUS readme: [en-ss](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ss/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ss/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ss/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ss/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.en.ss | 25.7 | 0.541 |
Helsinki-NLP/opus-mt-en-st
2021-01-18T08:16:32.000Z
[ "pytorch", "marian", "seq2seq", "en", "st", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
55
transformers
--- tags: - translation --- ### opus-mt-en-st * source languages: en * target languages: st * OPUS readme: [en-st](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-st/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-st/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-st/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-st/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.en.st | 49.8 | 0.665 |
Helsinki-NLP/opus-mt-en-sv
2021-02-27T14:49:37.000Z
[ "pytorch", "rust", "marian", "seq2seq", "en", "sv", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "rust_model.ot", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
8,350
transformers
--- tags: - translation --- ### opus-mt-en-sv * source languages: en * target languages: sv * OPUS readme: [en-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-sv/opus-2020-02-26.zip) * test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sv/opus-2020-02-26.test.txt) * test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sv/opus-2020-02-26.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.en.sv | 60.1 | 0.736 |
Helsinki-NLP/opus-mt-en-sw
2021-01-18T08:16:44.000Z
[ "pytorch", "marian", "seq2seq", "en", "sw", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
352
transformers
--- tags: - translation --- ### opus-mt-en-sw * source languages: en * target languages: sw * OPUS readme: [en-sw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-sw/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-sw/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sw/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sw/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | GlobalVoices.en.sw | 24.2 | 0.527 |
Helsinki-NLP/opus-mt-en-swc
2021-01-18T08:16:50.000Z
[ "pytorch", "marian", "seq2seq", "en", "swc", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
63
transformers
--- tags: - translation --- ### opus-mt-en-swc * source languages: en * target languages: swc * OPUS readme: [en-swc](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-swc/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-swc/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-swc/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-swc/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.en.swc | 40.1 | 0.613 |
Helsinki-NLP/opus-mt-en-tdt
2021-01-18T08:16:55.000Z
[ "pytorch", "marian", "seq2seq", "en", "tdt", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
63
transformers
--- tags: - translation --- ### opus-mt-en-tdt * source languages: en * target languages: tdt * OPUS readme: [en-tdt](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-tdt/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-tdt/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tdt/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tdt/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.en.tdt | 23.8 | 0.416 |
Helsinki-NLP/opus-mt-en-ti
2021-01-18T08:17:02.000Z
[ "pytorch", "marian", "seq2seq", "en", "ti", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
47
transformers
--- tags: - translation --- ### opus-mt-en-ti * source languages: en * target languages: ti * OPUS readme: [en-ti](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ti/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ti/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ti/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ti/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.en.ti | 25.3 | 0.382 |
Helsinki-NLP/opus-mt-en-tiv
2021-01-18T08:17:06.000Z
[ "pytorch", "marian", "seq2seq", "en", "tiv", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
51
transformers
--- tags: - translation --- ### opus-mt-en-tiv * source languages: en * target languages: tiv * OPUS readme: [en-tiv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-tiv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-tiv/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tiv/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tiv/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.en.tiv | 31.6 | 0.497 |
Helsinki-NLP/opus-mt-en-tl
2021-01-18T08:17:12.000Z
[ "pytorch", "marian", "seq2seq", "en", "tl", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
88
transformers
--- tags: - translation --- ### opus-mt-en-tl * source languages: en * target languages: tl * OPUS readme: [en-tl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-tl/README.md) * dataset: opus+bt * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus+bt-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-tl/opus+bt-2020-02-26.zip) * test set translations: [opus+bt-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tl/opus+bt-2020-02-26.test.txt) * test set scores: [opus+bt-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tl/opus+bt-2020-02-26.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.en.tl | 26.6 | 0.577 |
Helsinki-NLP/opus-mt-en-tll
2021-01-18T08:17:18.000Z
[ "pytorch", "marian", "seq2seq", "en", "tll", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
38
transformers
--- tags: - translation --- ### opus-mt-en-tll * source languages: en * target languages: tll * OPUS readme: [en-tll](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-tll/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-tll/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tll/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tll/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.en.tll | 33.6 | 0.556 |
Helsinki-NLP/opus-mt-en-tn
2021-01-18T08:17:39.000Z
[ "pytorch", "marian", "seq2seq", "en", "tn", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
49
transformers
--- tags: - translation --- ### opus-mt-en-tn * source languages: en * target languages: tn * OPUS readme: [en-tn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-tn/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-tn/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tn/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tn/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.en.tn | 45.5 | 0.636 |
Helsinki-NLP/opus-mt-en-to
2021-01-18T08:17:49.000Z
[ "pytorch", "marian", "seq2seq", "en", "to", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
43
transformers
--- tags: - translation --- ### opus-mt-en-to * source languages: en * target languages: to * OPUS readme: [en-to](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-to/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-to/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-to/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-to/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.en.to | 56.3 | 0.689 |
Helsinki-NLP/opus-mt-en-toi
2021-01-18T08:17:56.000Z
[ "pytorch", "marian", "seq2seq", "en", "toi", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
46
transformers
--- tags: - translation --- ### opus-mt-en-toi * source languages: en * target languages: toi * OPUS readme: [en-toi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-toi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-toi/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-toi/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-toi/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.en.toi | 32.8 | 0.598 |
Helsinki-NLP/opus-mt-en-tpi
2021-01-18T08:18:02.000Z
[ "pytorch", "marian", "seq2seq", "en", "tpi", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
67
transformers
--- tags: - translation --- ### opus-mt-en-tpi * source languages: en * target languages: tpi * OPUS readme: [en-tpi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-tpi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-tpi/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tpi/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tpi/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.en.tpi | 38.7 | 0.568 |
Helsinki-NLP/opus-mt-en-trk
2021-01-18T08:18:08.000Z
[ "pytorch", "marian", "seq2seq", "en", "tt", "cv", "tk", "tr", "ba", "trk", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
108
transformers
--- language: - en - tt - cv - tk - tr - ba - trk tags: - translation license: apache-2.0 --- ### eng-trk * source group: English * target group: Turkic languages * OPUS readme: [eng-trk](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-trk/README.md) * model: transformer * source language(s): eng * target language(s): aze_Latn bak chv crh crh_Latn kaz_Cyrl kaz_Latn kir_Cyrl kjh kum ota_Arab ota_Latn sah tat tat_Arab tat_Latn tuk tuk_Latn tur tyv uig_Arab uig_Cyrl uzb_Cyrl uzb_Latn * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-trk/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-trk/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-trk/opus2m-2020-08-01.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | newsdev2016-entr-engtur.eng.tur | 10.1 | 0.437 | | newstest2016-entr-engtur.eng.tur | 9.2 | 0.410 | | newstest2017-entr-engtur.eng.tur | 9.0 | 0.410 | | newstest2018-entr-engtur.eng.tur | 9.2 | 0.413 | | Tatoeba-test.eng-aze.eng.aze | 26.8 | 0.577 | | Tatoeba-test.eng-bak.eng.bak | 7.6 | 0.308 | | Tatoeba-test.eng-chv.eng.chv | 4.3 | 0.270 | | Tatoeba-test.eng-crh.eng.crh | 8.1 | 0.330 | | Tatoeba-test.eng-kaz.eng.kaz | 11.1 | 0.359 | | Tatoeba-test.eng-kir.eng.kir | 28.6 | 0.524 | | Tatoeba-test.eng-kjh.eng.kjh | 1.0 | 0.041 | | Tatoeba-test.eng-kum.eng.kum | 2.2 | 0.075 | | Tatoeba-test.eng.multi | 19.9 | 0.455 | | Tatoeba-test.eng-ota.eng.ota | 0.5 | 0.065 | | Tatoeba-test.eng-sah.eng.sah | 0.7 | 0.030 | | Tatoeba-test.eng-tat.eng.tat | 9.7 | 0.316 | | Tatoeba-test.eng-tuk.eng.tuk | 5.9 | 0.317 | | Tatoeba-test.eng-tur.eng.tur | 34.6 | 0.623 | | Tatoeba-test.eng-tyv.eng.tyv | 5.4 | 0.210 | | Tatoeba-test.eng-uig.eng.uig | 0.1 | 0.155 | | Tatoeba-test.eng-uzb.eng.uzb | 3.4 | 0.275 | ### System Info: - hf_name: eng-trk - source_languages: eng - target_languages: trk - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-trk/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'tt', 'cv', 'tk', 'tr', 'ba', 'trk'] - src_constituents: {'eng'} - tgt_constituents: {'kir_Cyrl', 'tat_Latn', 'tat', 'chv', 'uzb_Cyrl', 'kaz_Latn', 'aze_Latn', 'crh', 'kjh', 'uzb_Latn', 'ota_Arab', 'tuk_Latn', 'tuk', 'tat_Arab', 'sah', 'tyv', 'tur', 'uig_Arab', 'crh_Latn', 'kaz_Cyrl', 'uig_Cyrl', 'kum', 'ota_Latn', 'bak'} - src_multilingual: False - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-trk/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-trk/opus2m-2020-08-01.test.txt - src_alpha3: eng - tgt_alpha3: trk - short_pair: en-trk - chrF2_score: 0.455 - bleu: 19.9 - brevity_penalty: 1.0 - ref_len: 57072.0 - src_name: English - tgt_name: Turkic languages - train_date: 2020-08-01 - src_alpha2: en - tgt_alpha2: trk - prefer_old: False - long_pair: eng-trk - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-en-ts
2021-01-18T08:18:14.000Z
[ "pytorch", "marian", "seq2seq", "en", "ts", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
61
transformers
--- tags: - translation --- ### opus-mt-en-ts * source languages: en * target languages: ts * OPUS readme: [en-ts](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ts/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ts/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ts/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ts/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.en.ts | 43.4 | 0.639 |
Helsinki-NLP/opus-mt-en-tut
2021-01-18T08:18:21.000Z
[ "pytorch", "marian", "seq2seq", "en", "tut", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
35
transformers
--- language: - en - tut tags: - translation license: apache-2.0 --- ### eng-tut * source group: English * target group: Altaic languages * OPUS readme: [eng-tut](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-tut/README.md) * model: transformer * source language(s): eng * target language(s): aze_Latn bak chv crh crh_Latn kaz_Cyrl kaz_Latn kir_Cyrl kjh kum mon nog ota_Arab ota_Latn sah tat tat_Arab tat_Latn tuk tuk_Latn tur tyv uig_Arab uig_Cyrl uzb_Cyrl uzb_Latn xal * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus2m-2020-08-02.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-tut/opus2m-2020-08-02.zip) * test set translations: [opus2m-2020-08-02.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-tut/opus2m-2020-08-02.test.txt) * test set scores: [opus2m-2020-08-02.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-tut/opus2m-2020-08-02.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | newsdev2016-entr-engtur.eng.tur | 10.4 | 0.438 | | newstest2016-entr-engtur.eng.tur | 9.1 | 0.414 | | newstest2017-entr-engtur.eng.tur | 9.5 | 0.414 | | newstest2018-entr-engtur.eng.tur | 9.5 | 0.415 | | Tatoeba-test.eng-aze.eng.aze | 27.2 | 0.580 | | Tatoeba-test.eng-bak.eng.bak | 5.8 | 0.298 | | Tatoeba-test.eng-chv.eng.chv | 4.6 | 0.301 | | Tatoeba-test.eng-crh.eng.crh | 6.5 | 0.342 | | Tatoeba-test.eng-kaz.eng.kaz | 11.8 | 0.360 | | Tatoeba-test.eng-kir.eng.kir | 24.6 | 0.499 | | Tatoeba-test.eng-kjh.eng.kjh | 2.2 | 0.052 | | Tatoeba-test.eng-kum.eng.kum | 8.0 | 0.229 | | Tatoeba-test.eng-mon.eng.mon | 10.3 | 0.362 | | Tatoeba-test.eng.multi | 19.5 | 0.451 | | Tatoeba-test.eng-nog.eng.nog | 1.5 | 0.117 | | Tatoeba-test.eng-ota.eng.ota | 0.2 | 0.035 | | Tatoeba-test.eng-sah.eng.sah | 0.7 | 0.080 | | Tatoeba-test.eng-tat.eng.tat | 10.8 | 0.320 | | Tatoeba-test.eng-tuk.eng.tuk | 5.6 | 0.323 | | Tatoeba-test.eng-tur.eng.tur | 34.2 | 0.623 | | Tatoeba-test.eng-tyv.eng.tyv | 8.1 | 0.192 | | Tatoeba-test.eng-uig.eng.uig | 0.1 | 0.158 | | Tatoeba-test.eng-uzb.eng.uzb | 4.2 | 0.298 | | Tatoeba-test.eng-xal.eng.xal | 0.1 | 0.061 | ### System Info: - hf_name: eng-tut - source_languages: eng - target_languages: tut - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-tut/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'tut'] - src_constituents: {'eng'} - tgt_constituents: set() - src_multilingual: False - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-tut/opus2m-2020-08-02.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-tut/opus2m-2020-08-02.test.txt - src_alpha3: eng - tgt_alpha3: tut - short_pair: en-tut - chrF2_score: 0.451 - bleu: 19.5 - brevity_penalty: 1.0 - ref_len: 57472.0 - src_name: English - tgt_name: Altaic languages - train_date: 2020-08-02 - src_alpha2: en - tgt_alpha2: tut - prefer_old: False - long_pair: eng-tut - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-en-tvl
2021-01-18T08:18:27.000Z
[ "pytorch", "marian", "seq2seq", "en", "tvl", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
44
transformers
--- tags: - translation --- ### opus-mt-en-tvl * source languages: en * target languages: tvl * OPUS readme: [en-tvl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-tvl/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-tvl/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tvl/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tvl/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.en.tvl | 46.9 | 0.625 |
Helsinki-NLP/opus-mt-en-tw
2021-01-18T08:18:33.000Z
[ "pytorch", "marian", "seq2seq", "en", "tw", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
133
transformers
--- tags: - translation --- ### opus-mt-en-tw * source languages: en * target languages: tw * OPUS readme: [en-tw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-tw/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-tw/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tw/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tw/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.en.tw | 38.2 | 0.577 |
Helsinki-NLP/opus-mt-en-ty
2021-01-18T08:18:39.000Z
[ "pytorch", "marian", "seq2seq", "en", "ty", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
47
transformers
--- tags: - translation --- ### opus-mt-en-ty * source languages: en * target languages: ty * OPUS readme: [en-ty](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ty/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ty/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ty/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ty/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.en.ty | 46.8 | 0.619 |
Helsinki-NLP/opus-mt-en-uk
2021-01-18T08:18:46.000Z
[ "pytorch", "marian", "seq2seq", "en", "uk", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
618
transformers
--- tags: - translation --- ### opus-mt-en-uk * source languages: en * target languages: uk * OPUS readme: [en-uk](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-uk/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-uk/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-uk/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-uk/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.en.uk | 50.2 | 0.674 |
Helsinki-NLP/opus-mt-en-umb
2021-01-18T08:18:52.000Z
[ "pytorch", "marian", "seq2seq", "en", "umb", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
43
transformers
--- tags: - translation --- ### opus-mt-en-umb * source languages: en * target languages: umb * OPUS readme: [en-umb](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-umb/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-umb/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-umb/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-umb/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.en.umb | 28.6 | 0.510 |
Helsinki-NLP/opus-mt-en-ur
2021-01-18T08:18:58.000Z
[ "pytorch", "marian", "seq2seq", "en", "ur", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
74
transformers
--- language: - en - ur tags: - translation license: apache-2.0 --- ### eng-urd * source group: English * target group: Urdu * OPUS readme: [eng-urd](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-urd/README.md) * model: transformer-align * source language(s): eng * target language(s): urd * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urd/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urd/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urd/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.eng.urd | 12.1 | 0.390 | ### System Info: - hf_name: eng-urd - source_languages: eng - target_languages: urd - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-urd/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'ur'] - src_constituents: {'eng'} - tgt_constituents: {'urd'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urd/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urd/opus-2020-06-17.test.txt - src_alpha3: eng - tgt_alpha3: urd - short_pair: en-ur - chrF2_score: 0.39 - bleu: 12.1 - brevity_penalty: 1.0 - ref_len: 12155.0 - src_name: English - tgt_name: Urdu - train_date: 2020-06-17 - src_alpha2: en - tgt_alpha2: ur - prefer_old: False - long_pair: eng-urd - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-en-urj
2021-01-18T08:19:04.000Z
[ "pytorch", "marian", "seq2seq", "en", "se", "fi", "hu", "et", "urj", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
35
transformers
--- language: - en - se - fi - hu - et - urj tags: - translation license: apache-2.0 --- ### eng-urj * source group: English * target group: Uralic languages * OPUS readme: [eng-urj](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-urj/README.md) * model: transformer * source language(s): eng * target language(s): est fin fkv_Latn hun izh kpv krl liv_Latn mdf mhr myv sma sme udm vro * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus2m-2020-08-02.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urj/opus2m-2020-08-02.zip) * test set translations: [opus2m-2020-08-02.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urj/opus2m-2020-08-02.test.txt) * test set scores: [opus2m-2020-08-02.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urj/opus2m-2020-08-02.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | newsdev2015-enfi-engfin.eng.fin | 18.3 | 0.519 | | newsdev2018-enet-engest.eng.est | 19.3 | 0.520 | | newssyscomb2009-enghun.eng.hun | 15.4 | 0.471 | | newstest2009-enghun.eng.hun | 15.7 | 0.468 | | newstest2015-enfi-engfin.eng.fin | 20.2 | 0.534 | | newstest2016-enfi-engfin.eng.fin | 20.7 | 0.541 | | newstest2017-enfi-engfin.eng.fin | 23.6 | 0.566 | | newstest2018-enet-engest.eng.est | 20.8 | 0.535 | | newstest2018-enfi-engfin.eng.fin | 15.8 | 0.499 | | newstest2019-enfi-engfin.eng.fin | 19.9 | 0.518 | | newstestB2016-enfi-engfin.eng.fin | 16.6 | 0.509 | | newstestB2017-enfi-engfin.eng.fin | 19.4 | 0.529 | | Tatoeba-test.eng-chm.eng.chm | 1.3 | 0.127 | | Tatoeba-test.eng-est.eng.est | 51.0 | 0.692 | | Tatoeba-test.eng-fin.eng.fin | 34.6 | 0.597 | | Tatoeba-test.eng-fkv.eng.fkv | 2.2 | 0.302 | | Tatoeba-test.eng-hun.eng.hun | 35.6 | 0.591 | | Tatoeba-test.eng-izh.eng.izh | 5.7 | 0.211 | | Tatoeba-test.eng-kom.eng.kom | 3.0 | 0.012 | | Tatoeba-test.eng-krl.eng.krl | 8.5 | 0.230 | | Tatoeba-test.eng-liv.eng.liv | 2.7 | 0.077 | | Tatoeba-test.eng-mdf.eng.mdf | 2.8 | 0.007 | | Tatoeba-test.eng.multi | 35.1 | 0.588 | | Tatoeba-test.eng-myv.eng.myv | 1.3 | 0.014 | | Tatoeba-test.eng-sma.eng.sma | 1.8 | 0.095 | | Tatoeba-test.eng-sme.eng.sme | 6.8 | 0.204 | | Tatoeba-test.eng-udm.eng.udm | 1.1 | 0.121 | ### System Info: - hf_name: eng-urj - source_languages: eng - target_languages: urj - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-urj/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'se', 'fi', 'hu', 'et', 'urj'] - src_constituents: {'eng'} - tgt_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv_Latn', 'est', 'mhr', 'sma'} - src_multilingual: False - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urj/opus2m-2020-08-02.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urj/opus2m-2020-08-02.test.txt - src_alpha3: eng - tgt_alpha3: urj - short_pair: en-urj - chrF2_score: 0.588 - bleu: 35.1 - brevity_penalty: 0.943 - ref_len: 59664.0 - src_name: English - tgt_name: Uralic languages - train_date: 2020-08-02 - src_alpha2: en - tgt_alpha2: urj - prefer_old: False - long_pair: eng-urj - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-en-vi
2021-01-18T08:19:11.000Z
[ "pytorch", "marian", "seq2seq", "en", "vi", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
4,963
transformers
--- language: - en - vi tags: - translation license: apache-2.0 --- ### eng-vie * source group: English * target group: Vietnamese * OPUS readme: [eng-vie](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-vie/README.md) * model: transformer-align * source language(s): eng * target language(s): vie vie_Hani * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-vie/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-vie/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-vie/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.eng.vie | 37.2 | 0.542 | ### System Info: - hf_name: eng-vie - source_languages: eng - target_languages: vie - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-vie/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'vi'] - src_constituents: {'eng'} - tgt_constituents: {'vie', 'vie_Hani'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-vie/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-vie/opus-2020-06-17.test.txt - src_alpha3: eng - tgt_alpha3: vie - short_pair: en-vi - chrF2_score: 0.542 - bleu: 37.2 - brevity_penalty: 0.973 - ref_len: 24427.0 - src_name: English - tgt_name: Vietnamese - train_date: 2020-06-17 - src_alpha2: en - tgt_alpha2: vi - prefer_old: False - long_pair: eng-vie - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-en-xh
2021-01-18T08:19:18.000Z
[ "pytorch", "marian", "seq2seq", "en", "xh", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
46
transformers
--- tags: - translation --- ### opus-mt-en-xh * source languages: en * target languages: xh * OPUS readme: [en-xh](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-xh/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-xh/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-xh/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-xh/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.en.xh | 37.9 | 0.652 |
Helsinki-NLP/opus-mt-en-zh
2021-03-12T11:12:04.000Z
[ "pytorch", "tf", "rust", "marian", "seq2seq", "en", "zh", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "rust_model.ot", "source.spm", "target.spm", "tf_model.h5", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
7,347
transformers
--- language: - en - zh tags: - translation --- ### eng-zho * source group: English * target group: Chinese * OPUS readme: [eng-zho](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-zho/README.md) * model: transformer * source language(s): eng * target language(s): cjy_Hans cjy_Hant cmn cmn_Hans cmn_Hant gan lzh lzh_Hans nan wuu yue yue_Hans yue_Hant * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-07-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zho/opus-2020-07-17.zip) * test set translations: [opus-2020-07-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zho/opus-2020-07-17.test.txt) * test set scores: [opus-2020-07-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zho/opus-2020-07-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.eng.zho | 31.4 | 0.268 | ### System Info: - hf_name: eng-zho - source_languages: eng - target_languages: zho - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-zho/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'zh'] - src_constituents: {'eng'} - tgt_constituents: {'cmn_Hans', 'nan', 'nan_Hani', 'gan', 'yue', 'cmn_Kana', 'yue_Hani', 'wuu_Bopo', 'cmn_Latn', 'yue_Hira', 'cmn_Hani', 'cjy_Hans', 'cmn', 'lzh_Hang', 'lzh_Hira', 'cmn_Hant', 'lzh_Bopo', 'zho', 'zho_Hans', 'zho_Hant', 'lzh_Hani', 'yue_Hang', 'wuu', 'yue_Kana', 'wuu_Latn', 'yue_Bopo', 'cjy_Hant', 'yue_Hans', 'lzh', 'cmn_Hira', 'lzh_Yiii', 'lzh_Hans', 'cmn_Bopo', 'cmn_Hang', 'hak_Hani', 'cmn_Yiii', 'yue_Hant', 'lzh_Kana', 'wuu_Hani'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zho/opus-2020-07-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zho/opus-2020-07-17.test.txt - src_alpha3: eng - tgt_alpha3: zho - short_pair: en-zh - chrF2_score: 0.268 - bleu: 31.4 - brevity_penalty: 0.8959999999999999 - ref_len: 110468.0 - src_name: English - tgt_name: Chinese - train_date: 2020-07-17 - src_alpha2: en - tgt_alpha2: zh - prefer_old: False - long_pair: eng-zho - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-en-zle
2021-01-18T08:19:30.000Z
[ "pytorch", "marian", "seq2seq", "en", "be", "ru", "uk", "zle", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
34
transformers
--- language: - en - be - ru - uk - zle tags: - translation license: apache-2.0 --- ### eng-zle * source group: English * target group: East Slavic languages * OPUS readme: [eng-zle](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-zle/README.md) * model: transformer * source language(s): eng * target language(s): bel bel_Latn orv_Cyrl rue rus ukr * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus2m-2020-08-02.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zle/opus2m-2020-08-02.zip) * test set translations: [opus2m-2020-08-02.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zle/opus2m-2020-08-02.test.txt) * test set scores: [opus2m-2020-08-02.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zle/opus2m-2020-08-02.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | newstest2012-engrus.eng.rus | 27.4 | 0.550 | | newstest2013-engrus.eng.rus | 21.4 | 0.493 | | newstest2015-enru-engrus.eng.rus | 24.2 | 0.534 | | newstest2016-enru-engrus.eng.rus | 23.3 | 0.518 | | newstest2017-enru-engrus.eng.rus | 25.3 | 0.541 | | newstest2018-enru-engrus.eng.rus | 22.4 | 0.527 | | newstest2019-enru-engrus.eng.rus | 24.1 | 0.505 | | Tatoeba-test.eng-bel.eng.bel | 20.8 | 0.471 | | Tatoeba-test.eng.multi | 37.2 | 0.580 | | Tatoeba-test.eng-orv.eng.orv | 0.6 | 0.130 | | Tatoeba-test.eng-rue.eng.rue | 1.4 | 0.168 | | Tatoeba-test.eng-rus.eng.rus | 41.3 | 0.616 | | Tatoeba-test.eng-ukr.eng.ukr | 38.7 | 0.596 | ### System Info: - hf_name: eng-zle - source_languages: eng - target_languages: zle - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-zle/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'be', 'ru', 'uk', 'zle'] - src_constituents: {'eng'} - tgt_constituents: {'bel', 'orv_Cyrl', 'bel_Latn', 'rus', 'ukr', 'rue'} - src_multilingual: False - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zle/opus2m-2020-08-02.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zle/opus2m-2020-08-02.test.txt - src_alpha3: eng - tgt_alpha3: zle - short_pair: en-zle - chrF2_score: 0.58 - bleu: 37.2 - brevity_penalty: 0.9890000000000001 - ref_len: 63493.0 - src_name: English - tgt_name: East Slavic languages - train_date: 2020-08-02 - src_alpha2: en - tgt_alpha2: zle - prefer_old: False - long_pair: eng-zle - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-en-zls
2021-01-18T08:19:36.000Z
[ "pytorch", "marian", "seq2seq", "en", "hr", "mk", "bg", "sl", "zls", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
40
transformers
--- language: - en - hr - mk - bg - sl - zls tags: - translation license: apache-2.0 --- ### eng-zls * source group: English * target group: South Slavic languages * OPUS readme: [eng-zls](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-zls/README.md) * model: transformer * source language(s): eng * target language(s): bos_Latn bul bul_Latn hrv mkd slv srp_Cyrl srp_Latn * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus2m-2020-08-02.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zls/opus2m-2020-08-02.zip) * test set translations: [opus2m-2020-08-02.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zls/opus2m-2020-08-02.test.txt) * test set scores: [opus2m-2020-08-02.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zls/opus2m-2020-08-02.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.eng-bul.eng.bul | 47.6 | 0.657 | | Tatoeba-test.eng-hbs.eng.hbs | 40.7 | 0.619 | | Tatoeba-test.eng-mkd.eng.mkd | 45.2 | 0.642 | | Tatoeba-test.eng.multi | 42.7 | 0.622 | | Tatoeba-test.eng-slv.eng.slv | 17.9 | 0.351 | ### System Info: - hf_name: eng-zls - source_languages: eng - target_languages: zls - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-zls/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'hr', 'mk', 'bg', 'sl', 'zls'] - src_constituents: {'eng'} - tgt_constituents: {'hrv', 'mkd', 'srp_Latn', 'srp_Cyrl', 'bul_Latn', 'bul', 'bos_Latn', 'slv'} - src_multilingual: False - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zls/opus2m-2020-08-02.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zls/opus2m-2020-08-02.test.txt - src_alpha3: eng - tgt_alpha3: zls - short_pair: en-zls - chrF2_score: 0.622 - bleu: 42.7 - brevity_penalty: 0.9690000000000001 - ref_len: 64788.0 - src_name: English - tgt_name: South Slavic languages - train_date: 2020-08-02 - src_alpha2: en - tgt_alpha2: zls - prefer_old: False - long_pair: eng-zls - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-en-zlw
2021-01-18T08:19:43.000Z
[ "pytorch", "marian", "seq2seq", "en", "pl", "cs", "zlw", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
36
transformers
--- language: - en - pl - cs - zlw tags: - translation license: apache-2.0 --- ### eng-zlw * source group: English * target group: West Slavic languages * OPUS readme: [eng-zlw](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-zlw/README.md) * model: transformer * source language(s): eng * target language(s): ces csb_Latn dsb hsb pol * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus2m-2020-08-02.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zlw/opus2m-2020-08-02.zip) * test set translations: [opus2m-2020-08-02.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zlw/opus2m-2020-08-02.test.txt) * test set scores: [opus2m-2020-08-02.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zlw/opus2m-2020-08-02.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | newssyscomb2009-engces.eng.ces | 20.6 | 0.488 | | news-test2008-engces.eng.ces | 18.3 | 0.466 | | newstest2009-engces.eng.ces | 19.8 | 0.483 | | newstest2010-engces.eng.ces | 19.8 | 0.486 | | newstest2011-engces.eng.ces | 20.6 | 0.489 | | newstest2012-engces.eng.ces | 18.6 | 0.464 | | newstest2013-engces.eng.ces | 22.3 | 0.495 | | newstest2015-encs-engces.eng.ces | 21.7 | 0.502 | | newstest2016-encs-engces.eng.ces | 24.5 | 0.521 | | newstest2017-encs-engces.eng.ces | 20.1 | 0.480 | | newstest2018-encs-engces.eng.ces | 19.9 | 0.483 | | newstest2019-encs-engces.eng.ces | 21.2 | 0.490 | | Tatoeba-test.eng-ces.eng.ces | 43.7 | 0.632 | | Tatoeba-test.eng-csb.eng.csb | 1.2 | 0.188 | | Tatoeba-test.eng-dsb.eng.dsb | 1.5 | 0.167 | | Tatoeba-test.eng-hsb.eng.hsb | 5.7 | 0.199 | | Tatoeba-test.eng.multi | 42.8 | 0.632 | | Tatoeba-test.eng-pol.eng.pol | 43.2 | 0.641 | ### System Info: - hf_name: eng-zlw - source_languages: eng - target_languages: zlw - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-zlw/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'pl', 'cs', 'zlw'] - src_constituents: {'eng'} - tgt_constituents: {'csb_Latn', 'dsb', 'hsb', 'pol', 'ces'} - src_multilingual: False - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zlw/opus2m-2020-08-02.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zlw/opus2m-2020-08-02.test.txt - src_alpha3: eng - tgt_alpha3: zlw - short_pair: en-zlw - chrF2_score: 0.632 - bleu: 42.8 - brevity_penalty: 0.973 - ref_len: 65397.0 - src_name: English - tgt_name: West Slavic languages - train_date: 2020-08-02 - src_alpha2: en - tgt_alpha2: zlw - prefer_old: False - long_pair: eng-zlw - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-en_el_es_fi-en_el_es_fi
2021-01-18T08:19:48.000Z
[ "pytorch", "marian", "seq2seq", "en", "el", "es", "fi", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
39
transformers
--- tags: - translation --- ### opus-mt-en_el_es_fi-en_el_es_fi * source languages: en,el,es,fi * target languages: en,el,es,fi * OPUS readme: [en+el+es+fi-en+el+es+fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en+el+es+fi-en+el+es+fi/README.md) * dataset: opus * model: transformer * pre-processing: normalization + SentencePiece * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-03-02.zip](https://object.pouta.csc.fi/OPUS-MT-models/en+el+es+fi-en+el+es+fi/opus-2020-03-02.zip) * test set translations: [opus-2020-03-02.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en+el+es+fi-en+el+es+fi/opus-2020-03-02.test.txt) * test set scores: [opus-2020-03-02.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en+el+es+fi-en+el+es+fi/opus-2020-03-02.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | newsdev2015-enfi.en.fi | 16.0 | 0.498 | | newssyscomb2009.en.es | 29.9 | 0.570 | | newssyscomb2009.es.en | 29.7 | 0.569 | | news-test2008.en.es | 27.3 | 0.549 | | news-test2008.es.en | 27.3 | 0.548 | | newstest2009.en.es | 28.4 | 0.564 | | newstest2009.es.en | 28.4 | 0.564 | | newstest2010.en.es | 34.0 | 0.599 | | newstest2010.es.en | 34.0 | 0.599 | | newstest2011.en.es | 35.1 | 0.600 | | newstest2012.en.es | 35.4 | 0.602 | | newstest2013.en.es | 31.9 | 0.576 | | newstest2015-enfi.en.fi | 17.8 | 0.509 | | newstest2016-enfi.en.fi | 19.0 | 0.521 | | newstest2017-enfi.en.fi | 21.2 | 0.539 | | newstest2018-enfi.en.fi | 13.9 | 0.478 | | newstest2019-enfi.en.fi | 18.8 | 0.503 | | newstestB2016-enfi.en.fi | 14.9 | 0.491 | | newstestB2017-enfi.en.fi | 16.9 | 0.503 | | simplification.en.en | 63.0 | 0.798 | | Tatoeba.en.fi | 56.7 | 0.719 |
Helsinki-NLP/opus-mt-eo-af
2021-01-18T08:19:52.000Z
[ "pytorch", "marian", "seq2seq", "eo", "af", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
40
transformers
--- language: - eo - af tags: - translation license: apache-2.0 --- ### epo-afr * source group: Esperanto * target group: Afrikaans * OPUS readme: [epo-afr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-afr/README.md) * model: transformer-align * source language(s): epo * target language(s): afr * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-afr/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-afr/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-afr/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.epo.afr | 19.5 | 0.369 | ### System Info: - hf_name: epo-afr - source_languages: epo - target_languages: afr - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-afr/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['eo', 'af'] - src_constituents: {'epo'} - tgt_constituents: {'afr'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-afr/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-afr/opus-2020-06-16.test.txt - src_alpha3: epo - tgt_alpha3: afr - short_pair: eo-af - chrF2_score: 0.369 - bleu: 19.5 - brevity_penalty: 0.9570000000000001 - ref_len: 8432.0 - src_name: Esperanto - tgt_name: Afrikaans - train_date: 2020-06-16 - src_alpha2: eo - tgt_alpha2: af - prefer_old: False - long_pair: epo-afr - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-eo-bg
2021-01-18T08:19:56.000Z
[ "pytorch", "marian", "seq2seq", "eo", "bg", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
29
transformers
--- language: - eo - bg tags: - translation license: apache-2.0 --- ### epo-bul * source group: Esperanto * target group: Bulgarian * OPUS readme: [epo-bul](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-bul/README.md) * model: transformer-align * source language(s): epo * target language(s): bul * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-bul/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-bul/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-bul/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.epo.bul | 19.0 | 0.395 | ### System Info: - hf_name: epo-bul - source_languages: epo - target_languages: bul - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-bul/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['eo', 'bg'] - src_constituents: {'epo'} - tgt_constituents: {'bul', 'bul_Latn'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-bul/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-bul/opus-2020-06-16.test.txt - src_alpha3: epo - tgt_alpha3: bul - short_pair: eo-bg - chrF2_score: 0.395 - bleu: 19.0 - brevity_penalty: 0.8909999999999999 - ref_len: 3961.0 - src_name: Esperanto - tgt_name: Bulgarian - train_date: 2020-06-16 - src_alpha2: eo - tgt_alpha2: bg - prefer_old: False - long_pair: epo-bul - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-eo-cs
2021-01-18T08:20:00.000Z
[ "pytorch", "marian", "seq2seq", "eo", "cs", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
26
transformers
--- language: - eo - cs tags: - translation license: apache-2.0 --- ### epo-ces * source group: Esperanto * target group: Czech * OPUS readme: [epo-ces](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-ces/README.md) * model: transformer-align * source language(s): epo * target language(s): ces * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ces/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ces/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ces/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.epo.ces | 17.5 | 0.376 | ### System Info: - hf_name: epo-ces - source_languages: epo - target_languages: ces - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-ces/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['eo', 'cs'] - src_constituents: {'epo'} - tgt_constituents: {'ces'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ces/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ces/opus-2020-06-16.test.txt - src_alpha3: epo - tgt_alpha3: ces - short_pair: eo-cs - chrF2_score: 0.376 - bleu: 17.5 - brevity_penalty: 0.922 - ref_len: 22148.0 - src_name: Esperanto - tgt_name: Czech - train_date: 2020-06-16 - src_alpha2: eo - tgt_alpha2: cs - prefer_old: False - long_pair: epo-ces - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-eo-da
2021-01-18T08:20:04.000Z
[ "pytorch", "marian", "seq2seq", "eo", "da", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
27
transformers
--- language: - eo - da tags: - translation license: apache-2.0 --- ### epo-dan * source group: Esperanto * target group: Danish * OPUS readme: [epo-dan](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-dan/README.md) * model: transformer-align * source language(s): epo * target language(s): dan * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-dan/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-dan/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-dan/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.epo.dan | 21.6 | 0.407 | ### System Info: - hf_name: epo-dan - source_languages: epo - target_languages: dan - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-dan/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['eo', 'da'] - src_constituents: {'epo'} - tgt_constituents: {'dan'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-dan/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-dan/opus-2020-06-16.test.txt - src_alpha3: epo - tgt_alpha3: dan - short_pair: eo-da - chrF2_score: 0.40700000000000003 - bleu: 21.6 - brevity_penalty: 0.9359999999999999 - ref_len: 72349.0 - src_name: Esperanto - tgt_name: Danish - train_date: 2020-06-16 - src_alpha2: eo - tgt_alpha2: da - prefer_old: False - long_pair: epo-dan - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-eo-de
2021-01-18T08:20:09.000Z
[ "pytorch", "marian", "seq2seq", "eo", "de", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
79
transformers
--- tags: - translation --- ### opus-mt-eo-de * source languages: eo * target languages: de * OPUS readme: [eo-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/eo-de/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/eo-de/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/eo-de/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/eo-de/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.eo.de | 45.5 | 0.644 |
Helsinki-NLP/opus-mt-eo-el
2021-01-18T08:20:13.000Z
[ "pytorch", "marian", "seq2seq", "eo", "el", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
29
transformers
--- language: - eo - el tags: - translation license: apache-2.0 --- ### epo-ell * source group: Esperanto * target group: Modern Greek (1453-) * OPUS readme: [epo-ell](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-ell/README.md) * model: transformer-align * source language(s): epo * target language(s): ell * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ell/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ell/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ell/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.epo.ell | 23.2 | 0.438 | ### System Info: - hf_name: epo-ell - source_languages: epo - target_languages: ell - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-ell/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['eo', 'el'] - src_constituents: {'epo'} - tgt_constituents: {'ell'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ell/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ell/opus-2020-06-16.test.txt - src_alpha3: epo - tgt_alpha3: ell - short_pair: eo-el - chrF2_score: 0.43799999999999994 - bleu: 23.2 - brevity_penalty: 0.9159999999999999 - ref_len: 3892.0 - src_name: Esperanto - tgt_name: Modern Greek (1453-) - train_date: 2020-06-16 - src_alpha2: eo - tgt_alpha2: el - prefer_old: False - long_pair: epo-ell - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-eo-en
2021-01-18T08:20:18.000Z
[ "pytorch", "marian", "seq2seq", "eo", "en", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
461
transformers
--- tags: - translation --- ### opus-mt-eo-en * source languages: eo * target languages: en * OPUS readme: [eo-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/eo-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/eo-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/eo-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/eo-en/opus-2019-12-18.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.eo.en | 54.8 | 0.694 |
Helsinki-NLP/opus-mt-eo-es
2021-01-18T08:20:24.000Z
[ "pytorch", "marian", "seq2seq", "eo", "es", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
39
transformers
--- tags: - translation --- ### opus-mt-eo-es * source languages: eo * target languages: es * OPUS readme: [eo-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/eo-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/eo-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/eo-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/eo-es/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.eo.es | 44.2 | 0.631 |
Helsinki-NLP/opus-mt-eo-fi
2021-01-18T08:20:29.000Z
[ "pytorch", "marian", "seq2seq", "eo", "fi", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
27
transformers
--- language: - eo - fi tags: - translation license: apache-2.0 --- ### epo-fin * source group: Esperanto * target group: Finnish * OPUS readme: [epo-fin](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-fin/README.md) * model: transformer-align * source language(s): epo * target language(s): fin * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-fin/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-fin/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-fin/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.epo.fin | 15.9 | 0.371 | ### System Info: - hf_name: epo-fin - source_languages: epo - target_languages: fin - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-fin/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['eo', 'fi'] - src_constituents: {'epo'} - tgt_constituents: {'fin'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-fin/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-fin/opus-2020-06-16.test.txt - src_alpha3: epo - tgt_alpha3: fin - short_pair: eo-fi - chrF2_score: 0.371 - bleu: 15.9 - brevity_penalty: 0.894 - ref_len: 15881.0 - src_name: Esperanto - tgt_name: Finnish - train_date: 2020-06-16 - src_alpha2: eo - tgt_alpha2: fi - prefer_old: False - long_pair: epo-fin - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-eo-fr
2021-01-18T08:20:37.000Z
[ "pytorch", "marian", "seq2seq", "eo", "fr", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
46
transformers
--- tags: - translation --- ### opus-mt-eo-fr * source languages: eo * target languages: fr * OPUS readme: [eo-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/eo-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/eo-fr/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/eo-fr/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/eo-fr/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.eo.fr | 50.9 | 0.675 |
Helsinki-NLP/opus-mt-eo-he
2021-01-18T08:20:40.000Z
[ "pytorch", "marian", "seq2seq", "eo", "he", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
33
transformers
--- language: - eo - he tags: - translation license: apache-2.0 --- ### epo-heb * source group: Esperanto * target group: Hebrew * OPUS readme: [epo-heb](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-heb/README.md) * model: transformer-align * source language(s): epo * target language(s): heb * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-heb/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-heb/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-heb/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.epo.heb | 11.5 | 0.306 | ### System Info: - hf_name: epo-heb - source_languages: epo - target_languages: heb - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-heb/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['eo', 'he'] - src_constituents: {'epo'} - tgt_constituents: {'heb'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-heb/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-heb/opus-2020-06-16.test.txt - src_alpha3: epo - tgt_alpha3: heb - short_pair: eo-he - chrF2_score: 0.306 - bleu: 11.5 - brevity_penalty: 0.943 - ref_len: 65645.0 - src_name: Esperanto - tgt_name: Hebrew - train_date: 2020-06-16 - src_alpha2: eo - tgt_alpha2: he - prefer_old: False - long_pair: epo-heb - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-eo-hu
2021-01-18T08:20:45.000Z
[ "pytorch", "marian", "seq2seq", "eo", "hu", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
30
transformers
--- language: - eo - hu tags: - translation license: apache-2.0 --- ### epo-hun * source group: Esperanto * target group: Hungarian * OPUS readme: [epo-hun](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-hun/README.md) * model: transformer-align * source language(s): epo * target language(s): hun * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hun/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hun/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hun/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.epo.hun | 12.8 | 0.333 | ### System Info: - hf_name: epo-hun - source_languages: epo - target_languages: hun - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-hun/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['eo', 'hu'] - src_constituents: {'epo'} - tgt_constituents: {'hun'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hun/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hun/opus-2020-06-16.test.txt - src_alpha3: epo - tgt_alpha3: hun - short_pair: eo-hu - chrF2_score: 0.33299999999999996 - bleu: 12.8 - brevity_penalty: 0.914 - ref_len: 65704.0 - src_name: Esperanto - tgt_name: Hungarian - train_date: 2020-06-16 - src_alpha2: eo - tgt_alpha2: hu - prefer_old: False - long_pair: epo-hun - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-eo-it
2021-01-18T08:20:50.000Z
[ "pytorch", "marian", "seq2seq", "eo", "it", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
27
transformers
--- language: - eo - it tags: - translation license: apache-2.0 --- ### epo-ita * source group: Esperanto * target group: Italian * OPUS readme: [epo-ita](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-ita/README.md) * model: transformer-align * source language(s): epo * target language(s): ita * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ita/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ita/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ita/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.epo.ita | 23.8 | 0.465 | ### System Info: - hf_name: epo-ita - source_languages: epo - target_languages: ita - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-ita/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['eo', 'it'] - src_constituents: {'epo'} - tgt_constituents: {'ita'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ita/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ita/opus-2020-06-16.test.txt - src_alpha3: epo - tgt_alpha3: ita - short_pair: eo-it - chrF2_score: 0.465 - bleu: 23.8 - brevity_penalty: 0.9420000000000001 - ref_len: 67118.0 - src_name: Esperanto - tgt_name: Italian - train_date: 2020-06-16 - src_alpha2: eo - tgt_alpha2: it - prefer_old: False - long_pair: epo-ita - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-eo-nl
2021-01-18T08:20:54.000Z
[ "pytorch", "marian", "seq2seq", "eo", "nl", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
26
transformers
--- language: - eo - nl tags: - translation license: apache-2.0 --- ### epo-nld * source group: Esperanto * target group: Dutch * OPUS readme: [epo-nld](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-nld/README.md) * model: transformer-align * source language(s): epo * target language(s): nld * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-nld/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-nld/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-nld/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.epo.nld | 15.3 | 0.337 | ### System Info: - hf_name: epo-nld - source_languages: epo - target_languages: nld - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-nld/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['eo', 'nl'] - src_constituents: {'epo'} - tgt_constituents: {'nld'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-nld/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-nld/opus-2020-06-16.test.txt - src_alpha3: epo - tgt_alpha3: nld - short_pair: eo-nl - chrF2_score: 0.337 - bleu: 15.3 - brevity_penalty: 0.8640000000000001 - ref_len: 78770.0 - src_name: Esperanto - tgt_name: Dutch - train_date: 2020-06-16 - src_alpha2: eo - tgt_alpha2: nl - prefer_old: False - long_pair: epo-nld - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-eo-pl
2021-01-18T08:20:58.000Z
[ "pytorch", "marian", "seq2seq", "eo", "pl", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
33
transformers
--- language: - eo - pl tags: - translation license: apache-2.0 --- ### epo-pol * source group: Esperanto * target group: Polish * OPUS readme: [epo-pol](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-pol/README.md) * model: transformer-align * source language(s): epo * target language(s): pol * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-pol/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-pol/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-pol/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.epo.pol | 17.2 | 0.392 | ### System Info: - hf_name: epo-pol - source_languages: epo - target_languages: pol - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-pol/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['eo', 'pl'] - src_constituents: {'epo'} - tgt_constituents: {'pol'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-pol/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-pol/opus-2020-06-16.test.txt - src_alpha3: epo - tgt_alpha3: pol - short_pair: eo-pl - chrF2_score: 0.392 - bleu: 17.2 - brevity_penalty: 0.893 - ref_len: 15343.0 - src_name: Esperanto - tgt_name: Polish - train_date: 2020-06-16 - src_alpha2: eo - tgt_alpha2: pl - prefer_old: False - long_pair: epo-pol - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-eo-pt
2021-01-18T08:21:02.000Z
[ "pytorch", "marian", "seq2seq", "eo", "pt", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
36
transformers
--- language: - eo - pt tags: - translation license: apache-2.0 --- ### epo-por * source group: Esperanto * target group: Portuguese * OPUS readme: [epo-por](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-por/README.md) * model: transformer-align * source language(s): epo * target language(s): por * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-por/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-por/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-por/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.epo.por | 20.2 | 0.438 | ### System Info: - hf_name: epo-por - source_languages: epo - target_languages: por - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-por/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['eo', 'pt'] - src_constituents: {'epo'} - tgt_constituents: {'por'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-por/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-por/opus-2020-06-16.test.txt - src_alpha3: epo - tgt_alpha3: por - short_pair: eo-pt - chrF2_score: 0.43799999999999994 - bleu: 20.2 - brevity_penalty: 0.895 - ref_len: 89991.0 - src_name: Esperanto - tgt_name: Portuguese - train_date: 2020-06-16 - src_alpha2: eo - tgt_alpha2: pt - prefer_old: False - long_pair: epo-por - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-eo-ro
2021-01-18T08:21:06.000Z
[ "pytorch", "marian", "seq2seq", "eo", "ro", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
33
transformers
--- language: - eo - ro tags: - translation license: apache-2.0 --- ### epo-ron * source group: Esperanto * target group: Romanian * OPUS readme: [epo-ron](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-ron/README.md) * model: transformer-align * source language(s): epo * target language(s): ron * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ron/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ron/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ron/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.epo.ron | 19.4 | 0.420 | ### System Info: - hf_name: epo-ron - source_languages: epo - target_languages: ron - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-ron/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['eo', 'ro'] - src_constituents: {'epo'} - tgt_constituents: {'ron'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ron/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ron/opus-2020-06-16.test.txt - src_alpha3: epo - tgt_alpha3: ron - short_pair: eo-ro - chrF2_score: 0.42 - bleu: 19.4 - brevity_penalty: 0.9179999999999999 - ref_len: 25619.0 - src_name: Esperanto - tgt_name: Romanian - train_date: 2020-06-16 - src_alpha2: eo - tgt_alpha2: ro - prefer_old: False - long_pair: epo-ron - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-eo-ru
2021-01-18T08:21:10.000Z
[ "pytorch", "marian", "seq2seq", "eo", "ru", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
34
transformers
--- language: - eo - ru tags: - translation license: apache-2.0 --- ### epo-rus * source group: Esperanto * target group: Russian * OPUS readme: [epo-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-rus/README.md) * model: transformer-align * source language(s): epo * target language(s): rus * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-rus/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-rus/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-rus/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.epo.rus | 17.7 | 0.379 | ### System Info: - hf_name: epo-rus - source_languages: epo - target_languages: rus - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-rus/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['eo', 'ru'] - src_constituents: {'epo'} - tgt_constituents: {'rus'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-rus/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-rus/opus-2020-06-16.test.txt - src_alpha3: epo - tgt_alpha3: rus - short_pair: eo-ru - chrF2_score: 0.379 - bleu: 17.7 - brevity_penalty: 0.9179999999999999 - ref_len: 71288.0 - src_name: Esperanto - tgt_name: Russian - train_date: 2020-06-16 - src_alpha2: eo - tgt_alpha2: ru - prefer_old: False - long_pair: epo-rus - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-eo-sh
2021-01-18T08:21:15.000Z
[ "pytorch", "marian", "seq2seq", "eo", "sh", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
36
transformers
--- language: - eo - sh tags: - translation license: apache-2.0 --- ### epo-hbs * source group: Esperanto * target group: Serbo-Croatian * OPUS readme: [epo-hbs](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-hbs/README.md) * model: transformer-align * source language(s): epo * target language(s): bos_Latn hrv srp_Cyrl srp_Latn * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hbs/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hbs/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hbs/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.epo.hbs | 13.6 | 0.351 | ### System Info: - hf_name: epo-hbs - source_languages: epo - target_languages: hbs - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-hbs/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['eo', 'sh'] - src_constituents: {'epo'} - tgt_constituents: {'hrv', 'srp_Cyrl', 'bos_Latn', 'srp_Latn'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hbs/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hbs/opus-2020-06-16.test.txt - src_alpha3: epo - tgt_alpha3: hbs - short_pair: eo-sh - chrF2_score: 0.35100000000000003 - bleu: 13.6 - brevity_penalty: 0.888 - ref_len: 17999.0 - src_name: Esperanto - tgt_name: Serbo-Croatian - train_date: 2020-06-16 - src_alpha2: eo - tgt_alpha2: sh - prefer_old: False - long_pair: epo-hbs - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-eo-sv
2021-01-18T08:21:20.000Z
[ "pytorch", "marian", "seq2seq", "eo", "sv", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
59
transformers
--- language: - eo - sv tags: - translation license: apache-2.0 --- ### epo-swe * source group: Esperanto * target group: Swedish * OPUS readme: [epo-swe](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-swe/README.md) * model: transformer-align * source language(s): epo * target language(s): swe * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-swe/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-swe/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-swe/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.epo.swe | 29.5 | 0.463 | ### System Info: - hf_name: epo-swe - source_languages: epo - target_languages: swe - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-swe/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['eo', 'sv'] - src_constituents: {'epo'} - tgt_constituents: {'swe'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-swe/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-swe/opus-2020-06-16.test.txt - src_alpha3: epo - tgt_alpha3: swe - short_pair: eo-sv - chrF2_score: 0.46299999999999997 - bleu: 29.5 - brevity_penalty: 0.9640000000000001 - ref_len: 10977.0 - src_name: Esperanto - tgt_name: Swedish - train_date: 2020-06-16 - src_alpha2: eo - tgt_alpha2: sv - prefer_old: False - long_pair: epo-swe - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-es-NORWAY
2021-01-18T08:21:26.000Z
[ "pytorch", "marian", "seq2seq", "es", "no", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
36
transformers
--- tags: - translation --- ### opus-mt-es-NORWAY * source languages: es * target languages: nb_NO,nb,nn_NO,nn,nog,no_nb,no * OPUS readme: [es-nb_NO+nb+nn_NO+nn+nog+no_nb+no](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-nb_NO+nb+nn_NO+nn+nog+no_nb+no/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-nb_NO+nb+nn_NO+nn+nog+no_nb+no/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-nb_NO+nb+nn_NO+nn+nog+no_nb+no/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-nb_NO+nb+nn_NO+nn+nog+no_nb+no/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.no | 31.6 | 0.523 |
Helsinki-NLP/opus-mt-es-aed
2021-01-18T08:21:30.000Z
[ "pytorch", "marian", "seq2seq", "es", "aed", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
49
transformers
--- tags: - translation --- ### opus-mt-es-aed * source languages: es * target languages: aed * OPUS readme: [es-aed](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-aed/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-aed/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-aed/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-aed/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.aed | 89.2 | 0.915 |
Helsinki-NLP/opus-mt-es-af
2021-01-18T08:21:38.000Z
[ "pytorch", "marian", "seq2seq", "es", "af", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
75
transformers
--- language: - es - af tags: - translation license: apache-2.0 --- ### spa-afr * source group: Spanish * target group: Afrikaans * OPUS readme: [spa-afr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-afr/README.md) * model: transformer-align * source language(s): spa * target language(s): afr * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-afr/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-afr/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-afr/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.spa.afr | 55.0 | 0.718 | ### System Info: - hf_name: spa-afr - source_languages: spa - target_languages: afr - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-afr/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['es', 'af'] - src_constituents: {'spa'} - tgt_constituents: {'afr'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-afr/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-afr/opus-2020-06-17.test.txt - src_alpha3: spa - tgt_alpha3: afr - short_pair: es-af - chrF2_score: 0.718 - bleu: 55.0 - brevity_penalty: 0.9740000000000001 - ref_len: 3044.0 - src_name: Spanish - tgt_name: Afrikaans - train_date: 2020-06-17 - src_alpha2: es - tgt_alpha2: af - prefer_old: False - long_pair: spa-afr - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-es-ar
2021-01-18T08:21:46.000Z
[ "pytorch", "marian", "seq2seq", "es", "ar", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
35
transformers
--- language: - es - ar tags: - translation license: apache-2.0 --- ### spa-ara * source group: Spanish * target group: Arabic * OPUS readme: [spa-ara](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-ara/README.md) * model: transformer * source language(s): spa * target language(s): apc apc_Latn ara arq * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-ara/opus-2020-07-03.zip) * test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-ara/opus-2020-07-03.test.txt) * test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-ara/opus-2020-07-03.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.spa.ara | 20.0 | 0.517 | ### System Info: - hf_name: spa-ara - source_languages: spa - target_languages: ara - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-ara/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['es', 'ar'] - src_constituents: {'spa'} - tgt_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-ara/opus-2020-07-03.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-ara/opus-2020-07-03.test.txt - src_alpha3: spa - tgt_alpha3: ara - short_pair: es-ar - chrF2_score: 0.517 - bleu: 20.0 - brevity_penalty: 0.9390000000000001 - ref_len: 7547.0 - src_name: Spanish - tgt_name: Arabic - train_date: 2020-07-03 - src_alpha2: es - tgt_alpha2: ar - prefer_old: False - long_pair: spa-ara - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-es-ase
2021-01-18T08:21:51.000Z
[ "pytorch", "marian", "seq2seq", "es", "ase", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
58
transformers
--- tags: - translation --- ### opus-mt-es-ase * source languages: es * target languages: ase * OPUS readme: [es-ase](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ase/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-ase/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ase/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ase/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.ase | 31.5 | 0.488 |
Helsinki-NLP/opus-mt-es-bcl
2021-01-18T08:21:57.000Z
[ "pytorch", "marian", "seq2seq", "es", "bcl", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
48
transformers
--- tags: - translation --- ### opus-mt-es-bcl * source languages: es * target languages: bcl * OPUS readme: [es-bcl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-bcl/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-bcl/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-bcl/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-bcl/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.bcl | 37.1 | 0.586 |
Helsinki-NLP/opus-mt-es-ber
2021-01-18T08:22:03.000Z
[ "pytorch", "marian", "seq2seq", "es", "ber", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
62
transformers
--- tags: - translation --- ### opus-mt-es-ber * source languages: es * target languages: ber * OPUS readme: [es-ber](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ber/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-ber/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ber/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ber/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.es.ber | 21.8 | 0.444 |
Helsinki-NLP/opus-mt-es-bg
2021-01-18T08:22:14.000Z
[ "pytorch", "marian", "seq2seq", "es", "bg", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
61
transformers
--- language: - es - bg tags: - translation license: apache-2.0 --- ### spa-bul * source group: Spanish * target group: Bulgarian * OPUS readme: [spa-bul](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-bul/README.md) * model: transformer * source language(s): spa * target language(s): bul * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-bul/opus-2020-07-03.zip) * test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-bul/opus-2020-07-03.test.txt) * test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-bul/opus-2020-07-03.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.spa.bul | 50.9 | 0.674 | ### System Info: - hf_name: spa-bul - source_languages: spa - target_languages: bul - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-bul/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['es', 'bg'] - src_constituents: {'spa'} - tgt_constituents: {'bul', 'bul_Latn'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-bul/opus-2020-07-03.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-bul/opus-2020-07-03.test.txt - src_alpha3: spa - tgt_alpha3: bul - short_pair: es-bg - chrF2_score: 0.674 - bleu: 50.9 - brevity_penalty: 0.955 - ref_len: 1707.0 - src_name: Spanish - tgt_name: Bulgarian - train_date: 2020-07-03 - src_alpha2: es - tgt_alpha2: bg - prefer_old: False - long_pair: spa-bul - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-es-bi
2021-01-18T08:22:20.000Z
[ "pytorch", "marian", "seq2seq", "es", "bi", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
57
transformers
--- tags: - translation --- ### opus-mt-es-bi * source languages: es * target languages: bi * OPUS readme: [es-bi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-bi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-bi/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-bi/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-bi/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.bi | 28.0 | 0.473 |
Helsinki-NLP/opus-mt-es-bzs
2021-01-18T08:22:25.000Z
[ "pytorch", "marian", "seq2seq", "es", "bzs", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
35
transformers
--- tags: - translation --- ### opus-mt-es-bzs * source languages: es * target languages: bzs * OPUS readme: [es-bzs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-bzs/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-bzs/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-bzs/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-bzs/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.bzs | 26.4 | 0.451 |
Helsinki-NLP/opus-mt-es-ca
2021-01-18T08:22:32.000Z
[ "pytorch", "marian", "seq2seq", "es", "ca", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
254
transformers
--- language: - es - ca tags: - translation license: apache-2.0 --- ### spa-cat * source group: Spanish * target group: Catalan * OPUS readme: [spa-cat](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-cat/README.md) * model: transformer-align * source language(s): spa * target language(s): cat * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-cat/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-cat/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-cat/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.spa.cat | 68.9 | 0.832 | ### System Info: - hf_name: spa-cat - source_languages: spa - target_languages: cat - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-cat/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['es', 'ca'] - src_constituents: {'spa'} - tgt_constituents: {'cat'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-cat/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-cat/opus-2020-06-17.test.txt - src_alpha3: spa - tgt_alpha3: cat - short_pair: es-ca - chrF2_score: 0.8320000000000001 - bleu: 68.9 - brevity_penalty: 1.0 - ref_len: 12343.0 - src_name: Spanish - tgt_name: Catalan - train_date: 2020-06-17 - src_alpha2: es - tgt_alpha2: ca - prefer_old: False - long_pair: spa-cat - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-es-ceb
2021-01-18T08:22:38.000Z
[ "pytorch", "marian", "seq2seq", "es", "ceb", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
49
transformers
--- tags: - translation --- ### opus-mt-es-ceb * source languages: es * target languages: ceb * OPUS readme: [es-ceb](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ceb/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-ceb/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ceb/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ceb/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.ceb | 33.9 | 0.564 |
Helsinki-NLP/opus-mt-es-crs
2021-01-18T08:22:43.000Z
[ "pytorch", "marian", "seq2seq", "es", "crs", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
50
transformers
--- tags: - translation --- ### opus-mt-es-crs * source languages: es * target languages: crs * OPUS readme: [es-crs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-crs/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-crs/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-crs/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-crs/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.crs | 26.4 | 0.453 |
Helsinki-NLP/opus-mt-es-cs
2021-01-18T08:22:50.000Z
[ "pytorch", "marian", "seq2seq", "es", "cs", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
48
transformers
--- tags: - translation --- ### opus-mt-es-cs * source languages: es * target languages: cs * OPUS readme: [es-cs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-cs/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-cs/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-cs/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-cs/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.es.cs | 46.4 | 0.655 |
Helsinki-NLP/opus-mt-es-csg
2021-01-18T08:22:54.000Z
[ "pytorch", "marian", "seq2seq", "es", "csg", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
46
transformers
--- tags: - translation --- ### opus-mt-es-csg * source languages: es * target languages: csg * OPUS readme: [es-csg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-csg/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-csg/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-csg/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-csg/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.csg | 91.2 | 0.937 |
Helsinki-NLP/opus-mt-es-csn
2021-01-18T08:22:59.000Z
[ "pytorch", "marian", "seq2seq", "es", "csn", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
53
transformers
--- tags: - translation --- ### opus-mt-es-csn * source languages: es * target languages: csn * OPUS readme: [es-csn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-csn/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-csn/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-csn/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-csn/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.csn | 87.8 | 0.901 |
Helsinki-NLP/opus-mt-es-da
2021-01-18T08:23:05.000Z
[ "pytorch", "marian", "seq2seq", "es", "da", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
77
transformers
--- tags: - translation --- ### opus-mt-es-da * source languages: es * target languages: da * OPUS readme: [es-da](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-da/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-da/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-da/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-da/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.es.da | 55.7 | 0.712 |
Helsinki-NLP/opus-mt-es-de
2021-01-18T08:23:11.000Z
[ "pytorch", "marian", "seq2seq", "es", "de", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
129
transformers
--- tags: - translation --- ### opus-mt-es-de * source languages: es * target languages: de * OPUS readme: [es-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-de/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-de/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-de/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-de/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.es.de | 50.0 | 0.683 |
Helsinki-NLP/opus-mt-es-ee
2021-01-18T08:23:17.000Z
[ "pytorch", "marian", "seq2seq", "es", "ee", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
50
transformers
--- tags: - translation --- ### opus-mt-es-ee * source languages: es * target languages: ee * OPUS readme: [es-ee](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ee/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-ee/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ee/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ee/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.ee | 25.6 | 0.470 |
Helsinki-NLP/opus-mt-es-efi
2021-01-18T08:23:23.000Z
[ "pytorch", "marian", "seq2seq", "es", "efi", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
40
transformers
--- tags: - translation --- ### opus-mt-es-efi * source languages: es * target languages: efi * OPUS readme: [es-efi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-efi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-efi/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-efi/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-efi/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.efi | 24.6 | 0.452 |
Helsinki-NLP/opus-mt-es-el
2021-01-18T08:23:29.000Z
[ "pytorch", "marian", "seq2seq", "es", "el", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
58
transformers
--- tags: - translation --- ### opus-mt-es-el * source languages: es * target languages: el * OPUS readme: [es-el](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-el/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-29.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-el/opus-2020-01-29.zip) * test set translations: [opus-2020-01-29.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-el/opus-2020-01-29.test.txt) * test set scores: [opus-2020-01-29.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-el/opus-2020-01-29.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.es.el | 48.6 | 0.661 |
Helsinki-NLP/opus-mt-es-en
2021-01-18T08:23:34.000Z
[ "pytorch", "marian", "seq2seq", "es", "en", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
76,867
transformers
--- language: - es - en tags: - translation license: apache-2.0 --- ### spa-eng * source group: Spanish * target group: English * OPUS readme: [spa-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-eng/README.md) * model: transformer * source language(s): spa * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-08-18.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eng/opus-2020-08-18.zip) * test set translations: [opus-2020-08-18.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eng/opus-2020-08-18.test.txt) * test set scores: [opus-2020-08-18.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eng/opus-2020-08-18.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | newssyscomb2009-spaeng.spa.eng | 30.6 | 0.570 | | news-test2008-spaeng.spa.eng | 27.9 | 0.553 | | newstest2009-spaeng.spa.eng | 30.4 | 0.572 | | newstest2010-spaeng.spa.eng | 36.1 | 0.614 | | newstest2011-spaeng.spa.eng | 34.2 | 0.599 | | newstest2012-spaeng.spa.eng | 37.9 | 0.624 | | newstest2013-spaeng.spa.eng | 35.3 | 0.609 | | Tatoeba-test.spa.eng | 59.6 | 0.739 | ### System Info: - hf_name: spa-eng - source_languages: spa - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['es', 'en'] - src_constituents: {'spa'} - tgt_constituents: {'eng'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eng/opus-2020-08-18.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eng/opus-2020-08-18.test.txt - src_alpha3: spa - tgt_alpha3: eng - short_pair: es-en - chrF2_score: 0.7390000000000001 - bleu: 59.6 - brevity_penalty: 0.9740000000000001 - ref_len: 79376.0 - src_name: Spanish - tgt_name: English - train_date: 2020-08-18 00:00:00 - src_alpha2: es - tgt_alpha2: en - prefer_old: False - long_pair: spa-eng - helsinki_git_sha: d2f0910c89026c34a44e331e785dec1e0faa7b82 - transformers_git_sha: f7af09b4524b784d67ae8526f0e2fcc6f5ed0de9 - port_machine: brutasse - port_time: 2020-08-24-18:20
Helsinki-NLP/opus-mt-es-eo
2021-01-18T08:23:40.000Z
[ "pytorch", "marian", "seq2seq", "es", "eo", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
39
transformers
--- tags: - translation --- ### opus-mt-es-eo * source languages: es * target languages: eo * OPUS readme: [es-eo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-eo/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-eo/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-eo/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-eo/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.es.eo | 44.7 | 0.657 |
Helsinki-NLP/opus-mt-es-es
2021-01-18T08:23:45.000Z
[ "pytorch", "marian", "seq2seq", "es", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
57
transformers
--- tags: - translation --- ### opus-mt-es-es * source languages: es * target languages: es * OPUS readme: [es-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-es/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-es/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-es/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.es.es | 51.7 | 0.688 |
Helsinki-NLP/opus-mt-es-et
2021-01-18T08:23:51.000Z
[ "pytorch", "marian", "seq2seq", "es", "et", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
46
transformers
--- tags: - translation --- ### opus-mt-es-et * source languages: es * target languages: et * OPUS readme: [es-et](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-et/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-et/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-et/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-et/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.et | 20.7 | 0.466 |
Helsinki-NLP/opus-mt-es-eu
2021-01-18T08:23:58.000Z
[ "pytorch", "marian", "seq2seq", "es", "eu", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
66
transformers
--- language: - es - eu tags: - translation license: apache-2.0 --- ### spa-eus * source group: Spanish * target group: Basque * OPUS readme: [spa-eus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-eus/README.md) * model: transformer-align * source language(s): spa * target language(s): eus * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eus/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eus/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eus/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.spa.eus | 37.0 | 0.638 | ### System Info: - hf_name: spa-eus - source_languages: spa - target_languages: eus - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-eus/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['es', 'eu'] - src_constituents: {'spa'} - tgt_constituents: {'eus'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eus/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eus/opus-2020-06-17.test.txt - src_alpha3: spa - tgt_alpha3: eus - short_pair: es-eu - chrF2_score: 0.638 - bleu: 37.0 - brevity_penalty: 0.983 - ref_len: 10945.0 - src_name: Spanish - tgt_name: Basque - train_date: 2020-06-17 - src_alpha2: es - tgt_alpha2: eu - prefer_old: False - long_pair: spa-eus - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41