transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Remove explicit cuda stream in nemotron_h
- refactor: improved the cli server module code organization
- AutoTokenizer.from_pretrained calls model_info() unconditionally in _patch_mistral_regex, breaks HF_HUB_OFFLINE mode
- Fix Mllama torch.compile failure caused by new attention mask logic
- Transformers Qwen3.5 had a bug when set output_hidden_states=True
- Fix Zamba2MambaMixer ignoring use_mamba_kernels=False
- Add cu_seqlens support to OlmoHybridGatedDeltaNet for packed sequences
- AutoModelForSequenceClassification with attn_implementation="flash_attention_3" causes degenerate training (loss increases, model predicts all-one-class)
- Fix Mistral4 tests
- Add AudioFlamingoNext model
- Docs
- Python not yet supported