transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Expose `gradient_as_bucket_view` as training argument for `DDP`
- Can i convert open-clip trained models (.pt) using code “src/transformers/models/clip/convert_clip_original_pytorch_to_hf.py” ?
- Add time progress bar to track the group_by_length computation for bigger datasets on Trainer
- LLaMa-VID: An Image is Worth 2 Tokens in LLMs
- Open to contribution: adding `torch.nn.functional.scaled_dot_product_attention` support for more architectures
- CLIPTokenizer (and others based on the same telephoned OpenAI code) incorrect tokenize 1138 out of 34483 words that have an exact match in vocab
- ImageToTextPipeline does not support InstructBlip Models
- XLMRoberta with Flash Attention 2
- dMoE support
- Adding truncation to text-generation pipeline
- Docs
- Python not yet supported