transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- feat: allow to use hf-models
- RuntimeError in `_group_tensors_by_device_and_dtype` (torch/optim/optimizer.py) when training with FSDP on N>1 GPUs.
- Translation model M2M100 uses 2 models in cache (from version 4.46.0)
- Pass callbacks kwarg to study.optimize() in run_hp_search_optuna()
- Better error message when loading adapter models with peft dependency missing
- CI fails on few test_training_gradient_checkpointing tests for LLAMA
- Fix skip of test_training_gradient_checkpointing
- AttributeError when accessing .logits from BLIP-2 model output during conversion
- fix: Handle BLIP-2 model output format
- Gemma2: RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:7 and cuda:0! (when checking argument for argument index in method wrapper_CUDA__index_select)
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