transformers
ae9dd02e - Fix incorrect accelerator device handling for MPS in `TrainingArguments` (#31812)

Commit

1 year ago

Fix incorrect accelerator device handling for MPS in `TrainingArguments` (#31812) * Fix wrong acclerator device setup when using MPS * More robust TrainingArguments MPS handling * Update training_args.py * Cleanup

References

#29969 - [SigLIP] Add fast tokenizer

#31812 - Fix incorrect accelerator device handling for MPS in `TrainingArguments`

#32831 - [Docs] Update resources

#33111 - [Backbone] Remove out_features everywhere

#33174 - [Zero-shot image classification pipeline] Remove tokenizer_kwargs

#39821 - Support MetaCLIP 2

#59 - Fix attention mask handling in EoMT-DINOv3 converter

#62 - Add initial DEIMv2 model implementation

#65 - Fix RTDetrV2 sine position embedding ordering

#43710 - [Docs] Add docs for GLM-OCR and fix EomT-DINOv3

#43729 - [Doc tests] Fix bug

Author

andstor

Parents

4879ac2b

transformers ae9dd02e - Fix incorrect accelerator device handling for MPS in `TrainingArguments` (#31812)

transformers
ae9dd02e - Fix incorrect accelerator device handling for MPS in `TrainingArguments` (#31812)