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
Adding `safetensors` variant of this model
#3
by SFconvertbot - opened
open_clip_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8d06d0e1123be5e93ca3b48a5b3f337132c69590ced92695e4f0514710d81e39
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size 564032540
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