transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- [`MLA`] Add native FA4 support
- [serge] Fix 6 integration tests for model `layoutlmv2` failing with `other` (other (6))
- fix(trainer): Apply weight conversions when resuming from a checkpoint
- Fix skip reason for MoE padding-free test (gpt_oss, longcat_flash)
- FSDP2: evaluate/predict on a fresh Trainer raises in Accelerator.prepare
- Context parallelism: Trainer.predict returns duplicated rows, unlabeled path skips the CP context
- Need Kimi K3 model architecture support
- [`distributed`] Use unit sharding for attention projections
- [Qwen3.8-flash-next] QSAIndexer can not train
- Fix NPU SDPA path silently discarding additive attention bias masks
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