transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Silent failure in generation parameters
- Update modeling_longformer.py so it can be converted to onnx format using Pytorch.
- Refactor `output_hidden_states` to allow index selection
- Object detection training/fine-tuning for Owl-vit/Owlv2
- Qwen2-VL: Multi-GPU training
- Add support for OmDet-Turbo multi-gpu inference with DataParallel.
- Attentions Behavior are different
- support schedule sampling
- ChameleonProcessor abstraction behaves unintuitively (ChameleonProcessor should also do VQ-GAE and BPE mapping and not ChameleonModel)
- Remove attribute that is no longer used
- Docs
- Python not yet supported