Instructions to use HoyantSu/CLIP-pure_testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use HoyantSu/CLIP-pure_testing with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:HoyantSu/CLIP-pure_testing') tokenizer = open_clip.get_tokenizer('hf-hub:HoyantSu/CLIP-pure_testing') - Notebooks
- Google Colab
- Kaggle
Download open_clip_pytorch_model.bin from HoyantSu/CLIP-pure_testing: direct link, hf CLI and curl.
- Browser
- Download file 1.71 GB
-
https://huggingface.co/HoyantSu/CLIP-pure_testing/resolve/main/open_clip_pytorch_model.bin
- Command line
-
hf download hf://HoyantSu/CLIP-pure_testing/open_clip_pytorch_model.bin
-
curl -L -o open_clip_pytorch_model.bin https://huggingface.co/HoyantSu/CLIP-pure_testing/resolve/main/open_clip_pytorch_model.bin
1.71 GB
- Xet hash:
- 0af8b83855ee49b94eece32ee5b60d7acec5002c423561798683cfa1e05c859e
- Size of remote file:
- 1.71 GB
- SHA256:
- 25b013c041fd11cb28c6530c358b6774c64b2ef37c9df29f49457f7265a436c3
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