transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Add JinaBERT model
- avoid un-necessary unwrapping of the model on each train step
- Create zero-delay-qkv-compression.py
- Create zero_delay_qkv_benchmark.py
- tokenizer decode decode with timestamp fails for extended vocabulary
- Default arguments in `DebertaConfig` disable relative attention, contrary to the docs and `deberta-base`
- Fix hardcoded `float` dtypes in DeBERTa model, which caused multiple RuntimeErrors in `bfloat16`
- Option to Disable Model Caching When Using "pipeline"
- [Whisper] fix docstrings typo
- Fix syntax in HfQuantizer docstring
- Docs
- Python not yet supported