transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Custom beam search scorer argument in generate function
- Using Trainer + a pretrained tokenizer + 4D attention mask is extremely slow
- [wip][meta-llama][torch.compile] Fix issues with torch.compile
- gemma2 + flash atten Error: RuntimeError: linalg.vector_norm: Expected a floating point or complex tensor as input. Got Long
- [WIP] Standardize inputs and outputs for existing image-text-to-text models
- added warning to Trainer when label_names is not specified for PeftModel
- [Error] with Trainer: TypeError: Unsupported types (<class 'NoneType'>) passed to `_gpu_broadcast_one`.
- Checkpoint validation as an option
- More robust tests required for gradient checkpointing
- BertForSequenceClassification.from_pretrained broken when using FSDP
- Docs
- Python not yet supported