PT <-> TF for composite models (#19732)

Commit

3 years ago

PT <-> TF for composite models (#19732) * First step of PT->TF for composite models * Update the tests * For VisionEncoderDecoderModel * Fix * Fix * Add comment * Fix * clean up import * Save memory * For (TF)EncoderDecoderModel * For (TF)EncoderDecoderModel Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

References

#19732 - PT <-> TF for composite models

#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