Instructions to use UCSC-VLAA/openvision-vit-base-patch8-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use UCSC-VLAA/openvision-vit-base-patch8-224 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:UCSC-VLAA/openvision-vit-base-patch8-224') tokenizer = open_clip.get_tokenizer('hf-hub:UCSC-VLAA/openvision-vit-base-patch8-224') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1bdc0463b2a09191a7e482426ca74b96d435dc2e8f00e97a692fb17a2481cdc2
- Size of remote file:
- 563 MB
- SHA256:
- 897a3d9cd6da61cec289f868852b1d0831e69edabe76dc169f7ca16a5af2a90e
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