Instructions to use manalsultan/cpmc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use manalsultan/cpmc with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:manalsultan/cpmc') tokenizer = open_clip.get_tokenizer('hf-hub:manalsultan/cpmc') - Notebooks
- Google Colab
- Kaggle
Download open_clip_pytorch_model.bin from manalsultan/cpmc: direct link, hf CLI and curl.
- Browser
- Download file 10.2 GB
-
https://huggingface.co/manalsultan/cpmc/resolve/main/open_clip_pytorch_model.bin
- Command line
-
hf download hf://manalsultan/cpmc/open_clip_pytorch_model.bin
-
curl -L -o open_clip_pytorch_model.bin https://huggingface.co/manalsultan/cpmc/resolve/main/open_clip_pytorch_model.bin
10.2 GB
- Xet hash:
- b790d9e93636aa880f0281ada4385892e08c805bababb13f9d1392a8d2bb0333
- Size of remote file:
- 10.2 GB
- SHA256:
- 0d5318839ad03607c48055c45897c655a14c0276a79f6b867934ddd073760e39
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