Instructions to use UCSC-VLAA/openvision-vit-base-patch16-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use UCSC-VLAA/openvision-vit-base-patch16-224 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:UCSC-VLAA/openvision-vit-base-patch16-224') tokenizer = open_clip.get_tokenizer('hf-hub:UCSC-VLAA/openvision-vit-base-patch16-224') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a4597688afca872ae69c7c4a869c3281d7288acce14ea1769cf985620de55dc
- Size of remote file:
- 563 MB
- SHA256:
- 5a71f28244de7afadbfc81c4b5f5acede830727999911611ba26f790da50bd66
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