transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Exception raised with trainer + `accelerate launch` FSDP + large gradient accumulation steps + small dataset
- The examples in the examples directory are mostly for fine-tuning pre-trained models？how to trian from scratch
- Support to use adam_mini from installing directly
- VLMs: `patch_size` -> `num_image_tokens` in processing
- Add French translation of task_summary and tasks_explained
- fix flash attention comment
- A Trainer subclass for Decoder-Only LM with generation in evaluate()
- The same situation as #31377 occurred when using Qwen/Qwen2-VL-7B-Instruct
- Adding pruning integration to transformer
- The _crop_past_key_values function should be a member function of Cache.
- Docs
- Python not yet supported