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 StaticLayer.get_seq_length return type annotation (#45987)
- fix(mps): build_2d_sinusoidal_position_embedding crashes on Apple Silicon due to float64 on MPS device
- Add Fun-ASR-Nano model
- [LED][Longformer] Replace for-loop with unfold in _chunk ONNX-export path
- Return logits from semantic segmentation post-process
- Unable to resume model training with a locally downloaded model and trust remote code
- [Qwen3Next] preserve linear-attn-mask optimization under torch.compile/export
- Avoid reading self source code via file open()
- Regression in v5.x: `ProcessorMixin._load_tokenizer_from_pretrained` forces subfolder for non-primary sub-tokenizers, breaking repos that put tokenizer files at root
- [RT-DETRv2] MPS crash: build_2d_sinusoidal_position_embedding hardcodes torch.float64, breaking Apple Silicon / MPS inference
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- Python not yet supported