transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Fix important model failures on MI450
- Add new model `EfficientVit-SAM` to transformers
- Avoid ~2x transient host memory when loading to a unified-memory device
- Respect min_tokens_to_keep in TopHLogitsWarper
- VL models fail when their image placeholder is in user text.
- pytorch 2.13 is released , updating transformer to handle the fix tf32 issue
- Drop CPU/light docker image builder (moved to transformers-ci)
- Route packed sdpa rows through torch.nn.attention.varlen.varlen_attn
- torch-light: add executorch (+onnx) for CPU exporter tests
- chore(qa): fix Windows compatibility for type checker excludes
- Docs
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