transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- 🚨 Enable SDPA (and other attention backends) for T5 and propagate to the T5 family
- RTDetrLoss crashing with "ValueError: cost matrix is infeasible"
- Add MLU support to is_flash_linear_attention_available
- Add after-load fusion for static quantized MLPs
- OpenVINO HF Exporter
- Fix CohereASR training loss double shift
- Finegrained FP8 v4: fused grouepd/batched
- Fix dtype cast in TimesFM 2.5 ResidualBlock for quantized weights
- Bump minimum torch version to 2.5 and clean up torch<2.5 workarounds
- Replace VideoMAE sinusoid encoding helper with PyTorch implementation
- Docs
- Python not yet supported