transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Don't warn about class defaults when diffing a config
- Gate eager distributed imports on torch.distributed.is_available()
- Potential fix for code scanning alert no. 265: Environment variable built from user-controlled sources
- [serge] Fix 2 integration tests for model `granite4_vision` failing with `other` (other (2))
- Repetition penalty is gauge-dependent. Proposing opt-in normalized variant.
- Support solar-open2 model
- feat[vLLM]: Make VoxtralProcessor compatible with the Transformers modeling backend for vLLM
- [Experimental / Do not Review] Add multi-method export + QNN (Qualcomm HTP) backend to the ExecuTorch exporter
- Fix dtype casting when dequantizing
- [serge] Fix 2 integration tests for model `got_ocr2` failing with `other` (other (2))
- Docs
- Python not yet supported