transformers
https://github.com/huggingface/transformers
Python
π€ Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Simplify label mapping logic
- Recent changes is causing "found at least two devices"
- Register buffer init callbacks in llama
- Skip non-selected experts for mixtral and qwen2_moe
- IDEFICS-9B output NAN with transformer 4.33.2
- [i18n-<languageCode>] Translating docs to <languageName>δΈζ
- Tutorial for using DeepSpeed's activation checkpointing instead of PyTorch's
- Avoid decoding the entire token cache for every new token during text streaming
- Rewrite all modeling_whisper.py ,,, is there any reason at all why it's written like that?
- Added sdpa support for roberta
- Docs
- Python not yet supported