transformers
27b1516d - minimal fixes to run DataCollatorForWholeWordMask with return_tensors="np" and return_tensors="tf" (#13891)

Commit

4 years ago

minimal fixes to run DataCollatorForWholeWordMask with return_tensors="np" and return_tensors="tf" (#13891) * minimal fixes to run DataCollatorForWholeWordMask with return_tensors="np" and return_tensors="tf" * more consinstent implementation for numpy_mask_tokens

References

#13891 - minimal fixes to run DataCollatorForWholeWordMask with return_tensors="np" and return_tensors="tf"

#15748 - Fix segformer reshape last stage

#19449 - [WIP] Fix weights initialization of several vision 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

#39821 - Support MetaCLIP 2

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

#41212 - Add EoMT with DINOv3 backbone