transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- `trainer.evaluate` always creates a new MLFlow run, separate from the one used during `train()`
- Fix tokenizer model handling for LLaMA, converting Base64 to SentencePiece (#35037)
- Enable Quantize KV Cache for Mistral Model
- Enable Quantize KV Cache for Mistral Model
- Object detection evaluator
- Make it possible to save and evaluate checkpoint on CTRL+C / `KeyboardInterrupt` with Hugging Face Trainer
- Only Fine-tune the embeddings of the added special tokens
- adjust beam search early stopping to any criteria as opposed to all
- Replace all torch.FloatTensor by torch.Tensor
- switch from `training_args.bin` `training_args.json`
- Docs
- Python not yet supported