transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- 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`
- Add embedding scaling
- No use `no_sync` context manager when using gradient accumulation w/ deepspeed's zero stage 2 or 3 via `accelerate`
- Fixes bug in image_transforms.py
- How to Log Training Loss at Step Zero in Hugging Face Trainer or SFT Trainer?
- Optimized dola decoding generation function for faster performance
- Docs updates (russian documentation)
- Docs
- Python not yet supported