Instructions to use joaco3324/3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use joaco3324/3 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:joaco3324/3') tokenizer = open_clip.get_tokenizer('hf-hub:joaco3324/3') - Notebooks
- Google Colab
- Kaggle
Download open_clip_pytorch_model.bin from joaco3324/3: direct link, hf CLI and curl.
- Browser
- Download file 605 MB
-
https://huggingface.co/joaco3324/3/resolve/main/open_clip_pytorch_model.bin
- Command line
-
hf download hf://joaco3324/3/open_clip_pytorch_model.bin
-
curl -L -o open_clip_pytorch_model.bin https://huggingface.co/joaco3324/3/resolve/main/open_clip_pytorch_model.bin
605 MB
- Xet hash:
- 7129b2eec83a88531401cdbaa5907cdaa49e7b44ab9e417221f657b10890df3e
- Size of remote file:
- 605 MB
- SHA256:
- f3465e43402dde2bb294db87f012be133f818276267174a4492377c117bce66b
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