transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Command allowlist bypass via $(...) command substitution under ALLOW_SHELL_OPERATORS=true
- Fix prompt lookup decoding length cap
- Also size the device_map buffer from the largest leaf module (follow-up to #47203)
- docs: update quantized cache hqq/quanto examples and documentation
- Tar-slip / zip-slip arbitrary file write → RCE ...
- Add Granite-swa and Granitemoe-swa model support
- Add pose estimation keypoint preprocessing to Sapiens2ImageProcessor
- Drop CPU/light docker image builder (moved to transformers-ci)
- Route packed sdpa rows through torch.nn.attention.varlen.varlen_attn
- Fix batched Qwen2.5/3-Omni audio generation
- Docs
- Python not yet supported