transformers
62832c96 - 1x model size CPU memory usage for `from_pretrained` (#13466)

Commit

4 years ago

1x model size CPU memory usage for `from_pretrained` (#13466) * one possible solution * low mem from_pretrained * edge cases * solve the persistent buffers * style * parametrize * for later * proper solution * cleanup * refactor; rework based on suggestions * revert splitting into 2 parts, move checks into main func

References

#13466 - 1x model size CPU memory usage for `from_pretrained`

#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