Instructions to use UCSC-VLAA/openvision-vit-small-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-small-patch8-224 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:UCSC-VLAA/openvision-vit-small-patch8-224') tokenizer = open_clip.get_tokenizer('hf-hub:UCSC-VLAA/openvision-vit-small-patch8-224') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf265879296c5550082928c0723cc7aa7f8701758766b6dd5c5ce3f54f2a8a57
- Size of remote file:
- 222 MB
- SHA256:
- 0d18a8ec1fd49f2c2317f2f952bee9898f56f7a11528d34ae4eb5daa114ed683
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