transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- 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
- Gradual Slowdown of training on bigger batches
- matrix multiplication
- AutoModelForDepthEstimation/DepthAnythingDepthEstimationHead unexpected behavior in JIT
- Error loading model with device_map="auto" for AutoModelForVisualQuestionAnswering in visual-question-answering pipeline
- `DataCollatorForMultipleChoice` exists in the docs but not in the package
- Docs
- Python not yet supported