transformers
ae32f3af - Finetune guide for semantic segmentation (#18640)

Commit

3 years ago

Finetune guide for semantic segmentation (#18640) * 📝 first draft * oops add to toctree * make style * 📝 add inference section * 🖍 make style * 📝 add images * 🖍 apply feedbacks * remove num_labels and pytorch block * apply feedbacks, add colab notebook Co-authored-by: Steven <stevhliu@gmail.com>

References

#18640 - Finetune guide for semantic segmentation

#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

#62 - Add initial DEIMv2 model implementation

#65 - Fix RTDetrV2 sine position embedding ordering

Author

stevhliu

Parents

bf9d5061

transformers ae32f3af - Finetune guide for semantic segmentation (#18640)

transformers
ae32f3af - Finetune guide for semantic segmentation (#18640)