Instructions to use UCSC-VLAA/openvision-vit-large-patch14-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use UCSC-VLAA/openvision-vit-large-patch14-224 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:UCSC-VLAA/openvision-vit-large-patch14-224') tokenizer = open_clip.get_tokenizer('hf-hub:UCSC-VLAA/openvision-vit-large-patch14-224') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4d5d25eb44e9a56897a55b0a38ebf09f18b071eb182db6ecbca660d299da8d7b
- Size of remote file:
- 1.66 GB
- SHA256:
- ae6aa4009b3292bda578899c966ddf1cb9e783541b0fea520f80b150866d538a
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