transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Registers StaticCache serialization functions for torch.export.export
- Revert text_positions in Qwen25VL
- update model card for gpt-j
- Fix: Guard against None num_query_tokens in Blip2Processor (to avoid TypeError)
- Refactor RMSNorm implementations to use torch.nn.functional.rms_norm
- Fix(43240): pass kwargs to nn.functional.cross_entropy
- Support for per-token latency tracking in `generate()` (suggested options: using callback, profiler class, or using a config flag)
- Add MXFP4 MoE/attention backward kernels
- Add fast image processor for ViViT
- Support fdma for models with attention bias
- Docs
- Python not yet supported