transformers
https://github.com/huggingface/transformers
Python
š¤ Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- [RT-DETR] TypeError in RTDetrModel.forward when num_feature_levels > len(backbone outputs)
- ZeRO-3 zero.Init does not partition composite minimax_m3_vl language submodule -> OOM on multi-GPU load
- docs(trainer): add JIT checkpointing to trainer recipes
- Try smaller group
- [Qwen3.5] Missing `linear_attn` entries in `base_model_tp_plan` causes OOM and shape error at TP>1
- Migrate ALBERT task heads to self.loss_function and add ForMultipleChoiceLoss
- Fix garbage generation for Qwen3.5/Qwen3-Next under device_map CPU offload
- Fix RT-DETR indexing error when num_feature_levels exceeds backbone oā¦
- Enhance return type annotation in apply_chat_template in processing_uā¦
- fix(qwen3_5): add linear_attn entries to base_model_tp_plan
- Docs
- Python not yet supported