transformers
https://github.com/huggingface/transformers
Python
š¤ Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Object detection training/fine-tuning for Owl-vit/Owlv2
- Qwen2-VL: Multi-GPU training
- Attentions Behavior are different
- ChameleonProcessor abstraction behaves unintuitively (ChameleonProcessor should also do VQ-GAE and BPE mapping and not ChameleonModel)
- Updated few changes to the code and updated the files which had few typos in it.
- Enable changing the loss function by making the hard-coded `loss_fct` an attribute of `BertForTokenClassification`.
- #33512 handle last element out of range error
- Typing wrong and contradicting.
- KolmogorovāArnold Transformer
- NER workflow improvement
- Docs
- Python not yet supported