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 heterogeneous model support (per-layer config and modeling)
- Remove references to torchao's AffineQuantizedTensor
- Feature request: Support evaluation every N epochs in TrainingArguments
- Fix AttributeError in _patch_mistral_regex when fix_mistral_regex=True
- [Trainer] Support multi-loss component logging
- Add docstring to FFN.forward in DistilBERT
- fix: liger unnecessarily materializes logits in VRAM during eval, causing OOM
- Fix "AttributeError: NewTokenizer has no attribute special_attribute_present" (Remove `REGISTERED_FAST_ALIASES`)
- feat: add Gemma4ForSequenceClassification
- Add GGUF support to Gemma4 (31B & 26B-A4B) text
- Docs
- Python not yet supported