Instructions to use UCSC-VLAA/openvision-vit-base-patch16-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use UCSC-VLAA/openvision-vit-base-patch16-384 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:UCSC-VLAA/openvision-vit-base-patch16-384') tokenizer = open_clip.get_tokenizer('hf-hub:UCSC-VLAA/openvision-vit-base-patch16-384') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 757f28e913b905bd87a32f8a103848136a1030965aa8f40360d42cad8bc98f94
- Size of remote file:
- 564 MB
- SHA256:
- 2f57e4054caefc511eb4f35d5f077fb264769ab466833dca88177a674a955bc9
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