transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- apply_chat_template crashes with DeepSeek-V3/R1 templates on OpenAI-style tool-call messages since #45422
- Follow the SentencePiece model when converting a bare `tokenizer.model`
- Docs: dead links in model_doc pages (12 URLs return 404)
- [PR2] [Modular Cleanup] *Norm canonicals and renaming
- MoE load-balancing loss adds no gradient under reentrant gradient checkpointing
- Removing legacy requires_grad workaround in Wav2Vec2FeatureEncoder to fix torch.compile (fullgraph=True)
- Decision: batch the prompts of a request with slice_logits_to_keep
- Fix flaky ONNX export test for wav2vec2-style `ForPreTraining` models (argmax near-tie)
- Wav2Vec2-family feature encoder sets requires_grad on an intermediate every training step, breaking torch.compile(fullgraph=True)
- Fix RecurrentGemma decode-step mask built from a recurrent layer (padded batch generation broken)
- Docs
- Python not yet supported