Date Fragments: A Hidden Bottleneck of Tokenization for Temporal Reasoning
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Speech Recognition Community Event Version 2
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Multi-Lingual Speech Recognition
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gagan3012
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12 days ago
DrishtiSharma
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16 days ago
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3677
hey hey
@mradermacher
- VB from Hugging Face here, we'd love to onboard you over to our optimised xet backend! 💥
as you know we're in the process of upgrading our storage backend to xet (which helps us scale and offer blazingly fast upload/ download speeds too): https://huggingface.co/blog/xet-on-the-hub and now that we are certain that the backend can scale with even big models like Llama 4/ Qwen 3 - we;re moving to the next phase of inviting impactful orgs and users on the hub over as you are a big part of the open source ML community - we would love to onboard you next and create some excitement about it in the community too!
in terms of actual steps - it should be as simple as one of the org admins to join hf.co/join/xet - we'll take care of the rest.
p.s. you'd need to have a the latest hf_xet version of huggingface_hub lib but everything else should be the same: https://huggingface.co/docs/hub/storage-backends#using-xet-storage
p.p.s. this is fully backwards compatible so everything will work as it should! 🤗
as you know we're in the process of upgrading our storage backend to xet (which helps us scale and offer blazingly fast upload/ download speeds too): https://huggingface.co/blog/xet-on-the-hub and now that we are certain that the backend can scale with even big models like Llama 4/ Qwen 3 - we;re moving to the next phase of inviting impactful orgs and users on the hub over as you are a big part of the open source ML community - we would love to onboard you next and create some excitement about it in the community too!
in terms of actual steps - it should be as simple as one of the org admins to join hf.co/join/xet - we'll take care of the rest.
p.s. you'd need to have a the latest hf_xet version of huggingface_hub lib but everything else should be the same: https://huggingface.co/docs/hub/storage-backends#using-xet-storage
p.p.s. this is fully backwards compatible so everything will work as it should! 🤗
- 16 replies
w11wo
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19 days ago
phantomcoder1996
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about 1 month ago
DrishtiSharma
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about 2 months ago
gigant
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about 2 months ago
reach-vb
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about 2 months ago
emre
authored
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2 months ago
Post
3468
having trouble with auto train
hello there this is the first time i am testing auto train with a 1.8k SFT dataset. Howevery i am not quite sure the training is going smooth. Logs seem quite confusing, token did not match can not auth, generates confusing train splits, do you know how i can check my running job properly?
what is being used for training as data?
any ideas?
hello there this is the first time i am testing auto train with a 1.8k SFT dataset. Howevery i am not quite sure the training is going smooth. Logs seem quite confusing, token did not match can not auth, generates confusing train splits, do you know how i can check my running job properly?
what is being used for training as data?
any ideas?
- 1 reply
w11wo
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3 months ago
nguyenvulebinh
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3 months ago
vumichien
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4 months ago
reach-vb
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4 months ago
FremyCompany
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5 months ago
Post
780
🔀 Very cool demo of word-level alignment of paraphrased or cross-lingual sentences, from the new Fairly Multilingual ModernBERT embedding model:
Parallia/Fairly-Multilingual-ModernBERT-Token-Alignment
Parallia/Fairly-Multilingual-ModernBERT-Token-Alignment
gagan3012
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6 months ago
versae
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6 months ago
DrishtiSharma
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6 months ago