transformers
6a5472a8 - Force use_cache to be False in PyTorch (#15385)

Commit

4 years ago

Force use_cache to be False in PyTorch (#15385) * use_cache = False for PT models if labels is passed * Fix for BigBirdPegasusForConditionalGeneration * add warning if users specify use_cache=True * Use logger.warning instead of warnings.warn Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

References

#15385 - Force use_cache to be False in PyTorch

#27720 - Add common processor tests

#29969 - [SigLIP] Add fast tokenizer

#32831 - [Docs] Update resources

#33111 - [Backbone] Remove out_features everywhere

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

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

#62 - Add initial DEIMv2 model implementation

#65 - Fix RTDetrV2 sine position embedding ordering

#44375 - Add RF-DETR

#71 - Use Mask2Former ignore_value in mask matching and losses