transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cuda:1! (when checking argument for argument mat1 in method wrapper_CUDA_addmm)
- Video-Llava model's generation error due to causal mask shape mismatch
- TypeError: Accelerator.__init__() got an unexpected keyword argument 'dispatch_batches'
- Fix Import Error for Trainer in run_ner.py
- WanDB callback fails on training end when eval dataset is provided
- FSDP with SFTrainer: expected dtype float for `end` but got dtype c10::BFloat16
- Allow handling files as args for a tool created with Tool.from_space
- Transformers 4.46.2 breaks model loading for Llama 3.2 90B Vision Instruct
- CPU processing is extremely slow for models loaded with `torch_dtype = torch.float16`
- top-p sampling gives different results even after fixing all random seeds
- Docs
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