transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Why there is no LlavaForSequenceClassification ?
- New option called `"best"` for `args.save_strategy`.
- Fix pipeline tests - don't set torch_dtype on non-torch pipelines
- Confusing documentation of input_ids and past_key_values in model.forward
- Loading HuBERT models with DeepSpeed ZeRO-3 causes program to hang
- TinyModel addition
- Adding mplugdocowl
- Transformer models are not deterministic when using Flash Attention 2
- Suport sdpa for RoBERTa and XLM-RoBERTa models
- Train on logits instead of one hot vectors
- Docs
- Python not yet supported