Instructions to use UCSC-VLAA/openvision3-vit-base-patch2-28 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use UCSC-VLAA/openvision3-vit-base-patch2-28 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:UCSC-VLAA/openvision3-vit-base-patch2-28') tokenizer = open_clip.get_tokenizer('hf-hub:UCSC-VLAA/openvision3-vit-base-patch2-28') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0e1a531ccda6adbf130126acfe36b4e1934c78d0732d5ba57ef5af7e93da7c6d
- Size of remote file:
- 343 MB
- SHA256:
- 37d649a86f69478e0c58fc78d777be062a520391d50116e0987484bcb04faa99
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