transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Add method to get loaded adapter names.
- Bug in WhisperTokenizer batch_decode, when set `skip_special_tokens=True` for FlaxWhisper model output
- Some casualLM models don't get position_ids in their forward pass.
- Auto model & pipeline for image-text-to-image-text models
- Convert new SigLIP checkpoints
- whisper & flash_attention_2 & reduce overhead results in error
- Uniform kwargs for processors of audio-text models
- Trainer.model.push_to_hub() does not allow a private repository flag
- Raise warning for OOV tokens in fast tokenizer fix #29159
- More precise `inputs_embeds` input logic and tests
- Docs
- Python not yet supported