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
- continous batching not support audio Model
- Performance Improvement: Avoid hostādevice synchronizations caused by tensor-to-Python conversions and certain tensor ops
- output_hidden_states is not working correctly with SiglipModel class
- Allow Path type in transformers.image_utils.load_image function
- Add Promptable Concept Segmentation pipeline
- Add Promptable Visual Segmentation pipeline
- Allow `load_best_model_at_end=True` to work when `save_steps < eval_steps` and best model is saved
- Support encoder text classification for sequence to sequence models like BART and T5
- Add Mistral tokenizer missing methods
- [GGUF] Add attn_logit_softcapping to Gemma2/Gemma3 config mapping
- Docs
- Python not yet supported