Instructions to use UCSC-VLAA/openvision3-vit-large-patch2-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use UCSC-VLAA/openvision3-vit-large-patch2-32 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:UCSC-VLAA/openvision3-vit-large-patch2-32') tokenizer = open_clip.get_tokenizer('hf-hub:UCSC-VLAA/openvision3-vit-large-patch2-32') - Notebooks
- Google Colab
- Kaggle
Download open_clip_pytorch_model.bin from UCSC-VLAA/openvision3-vit-large-patch2-32: direct link, hf CLI and curl.
- Browser
- Download file 1.21 GB
-
https://huggingface.co/UCSC-VLAA/openvision3-vit-large-patch2-32/resolve/main/open_clip_pytorch_model.bin
- Command line
-
hf download hf://UCSC-VLAA/openvision3-vit-large-patch2-32/open_clip_pytorch_model.bin
-
curl -L -o open_clip_pytorch_model.bin https://huggingface.co/UCSC-VLAA/openvision3-vit-large-patch2-32/resolve/main/open_clip_pytorch_model.bin
1.21 GB
- Xet hash:
- b0890a80e2b931558c44577c6373a3fccaf702f24d5526e0795a66020229960e
- Size of remote file:
- 1.21 GB
- SHA256:
- e08712b727e58f1e539f15a2eed96869972cd0f1cfe5baf9ef0b03207999eb69
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