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NetoAISolutions
/
T-VEC

sentence-transformers
Safetensors
English
qwen2
text-embeddings
telecom
domain-adaptation
triplet-loss
transformer
semantic-search
domain-specific
contrastive-learning
simcse
bio-bert
don’t-stop-pretraining
custom_code
Eval Results
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  • 1_Pooling
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  • LICENSE.txt
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  • README.md
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  • added_tokens.json
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  • config.json
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  • config_sentence_transformers.json
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  • merges.txt
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  • model-00001-of-00002.safetensors
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  • model-00002-of-00002.safetensors
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  • model.safetensors.index.json
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  • modules.json
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  • sentence_bert_config.json
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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  • vocab.json
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