Instructions to use UCSC-VLAA/openvision-vit-so400m-patch14-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use UCSC-VLAA/openvision-vit-so400m-patch14-384 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:UCSC-VLAA/openvision-vit-so400m-patch14-384') tokenizer = open_clip.get_tokenizer('hf-hub:UCSC-VLAA/openvision-vit-so400m-patch14-384') - Notebooks
- Google Colab
- Kaggle
Download open_clip_pytorch_model.bin from UCSC-VLAA/openvision-vit-so400m-patch14-384: direct link, hf CLI and curl.
- Browser
- Download file 3.46 GB
-
https://huggingface.co/UCSC-VLAA/openvision-vit-so400m-patch14-384/resolve/main/open_clip_pytorch_model.bin
- Command line
-
hf download hf://UCSC-VLAA/openvision-vit-so400m-patch14-384/open_clip_pytorch_model.bin
-
curl -L -o open_clip_pytorch_model.bin https://huggingface.co/UCSC-VLAA/openvision-vit-so400m-patch14-384/resolve/main/open_clip_pytorch_model.bin
3.46 GB
- Xet hash:
- c5829d3c19d67c98af7652872ba53929f88662ee31594620aaeeaf429ee861b1
- Size of remote file:
- 3.46 GB
- SHA256:
- 146eaad89848c603fd1586d6dbdb41833bf69075b9a40f7873e7c2386b107243
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