transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Gemma 2 returns NaN when using default attn (sdpa) with padding
- Added sdpa support for roberta
- must be real number, not SymFloat for Qwen/Qwen 7B Model with torch.compile inductor backend.
- fix: Updated BridgeTower Image processor
- 'loss': 0.0, 'grad_norm': nan, 'learning_rate': 0.0,
- Trainer - deprecate tokenizer for processing_class
- ZoeDepth outputs include padding --> not referenced in the docs & solution is not obvious
- 🌐 [i18n-KO] Translated `<hqq>.md` to Korean
- Some Whisper beam search output (sequences_scores, etc.) is lost in _stack_split_outputs
- Adds uniform processing kwargs to paligemma.
- Docs
- Python not yet supported