Instructions to use joaco3324/4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use joaco3324/4 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:joaco3324/4') tokenizer = open_clip.get_tokenizer('hf-hub:joaco3324/4') - Notebooks
- Google Colab
- Kaggle
Download open_clip_pytorch_model.bin from joaco3324/4: direct link, hf CLI and curl.
- Browser
- Download file 605 MB
-
https://huggingface.co/joaco3324/4/resolve/main/open_clip_pytorch_model.bin
- Command line
-
hf download hf://joaco3324/4/open_clip_pytorch_model.bin
-
curl -L -o open_clip_pytorch_model.bin https://huggingface.co/joaco3324/4/resolve/main/open_clip_pytorch_model.bin
605 MB
- Xet hash:
- f26a10abc71ad2428169f67fe5edd998116c43c80f86fa65eedf5e0fcff56172
- Size of remote file:
- 605 MB
- SHA256:
- 7882d833d4707131e4662cbd43a6535de88fee4c715c3b73faf4f447a76fc02e
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