Instructions to use rwightman/openvision-vit-so400m-patch14-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use rwightman/openvision-vit-so400m-patch14-224 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:rwightman/openvision-vit-so400m-patch14-224') tokenizer = open_clip.get_tokenizer('hf-hub:rwightman/openvision-vit-so400m-patch14-224') - Notebooks
- Google Colab
- Kaggle
Request for the jimm package on pypi
#1
by supersketchy007 - opened
Hi Ross,
I appreciate your work on timm. I’m developing a JAX analogue named jimm, with core boilerplate and three models already in place and more examples and documentation coming soon. You can find the code at: https://github.com/Locamage/jimm, with the documentation at https://locamage.dev/jimm
The jimm package on PyPI (https://pypi.org/project/jimm/) appears inactive. If you are no longer using it, could you transfer ownership so I can publish the project under this name? If you intend to revive the package, please let me know and I will choose an alternative.
Thank you for considering my request.
Best regards,
Pinak
supersketchy007 changed discussion status to closed