transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- BertTokenizer and BertTokenizerFast have different behavior when requested "return_overflowing_tokens"
- Returning history prompt from BarkModel.generate()
- Detr models crashes when changing the num_queries parameter in the config
- TextStreamer: An option to print / put every single token instead of whole words
- Adding Gradient Checkpointing and Flash Attention 2 implementation to VisionTextDualEncoderModel
- Unable to use torch scripting to export Mask2Former model
- Allow setting different decoder_start_token_ids for each item in a batch in the generate function.
- Adding CrossMAE
- Fix the StarCoder agent max_new_tokens input validation error
- DETR: IndexError: Caught IndexError in replica 0 on device 0. IndexError: index 8 is out of bounds for dimension 0 with size 8
- Docs
- Python not yet supported