Fix GPT-J onnx conversion (#16780)

Commit

3 years ago

Fix GPT-J onnx conversion (#16780) * add gptj to TOKENIZER_MAPPING_NAMES * fix int32 to float to avoid problem in onnx * Update src/transformers/models/gptj/modeling_gptj.py Co-authored-by: ChainYo <t.chaigneau.tc@gmail.com> Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

References

#16780 - Fix GPT-J onnx conversion

#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

#58 - Add EoMT DINOv3 model

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

#41212 - Add EoMT with DINOv3 backbone