transformers
e68c3756 - Allow training to resume even if RNG states are not properly loaded (#14994)

Commit

3 years ago

Allow training to resume even if RNG states are not properly loaded (#14994) * Allow training to resume even if RNG states are not properly loaded * Proper f-string

References

#62 - Add initial DEIMv2 model implementation

#58 - Add EoMT DINOv3 model

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

#27720 - Add common processor tests

#32831 - [Docs] Update resources

#29969 - [SigLIP] Add fast tokenizer

#41212 - Add EoMT with DINOv3 backbone

#39821 - Support MetaCLIP 2

#15748 - Fix segformer reshape last stage

#33111 - [Backbone] Remove out_features everywhere

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

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

#14994 - Allow training to resume even if RNG states are not properly loaded

Author

sgugger

Parents

08cb5718

transformers e68c3756 - Allow training to resume even if RNG states are not properly loaded (#14994)

transformers
e68c3756 - Allow training to resume even if RNG states are not properly loaded (#14994)