Instructions to use thaottn/OpenCLIP-resnet50-RedCaps12M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use thaottn/OpenCLIP-resnet50-RedCaps12M with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:thaottn/OpenCLIP-resnet50-RedCaps12M') tokenizer = open_clip.get_tokenizer('hf-hub:thaottn/OpenCLIP-resnet50-RedCaps12M') - Notebooks
- Google Colab
- Kaggle
Download open_clip_pytorch_model.bin from thaottn/OpenCLIP-resnet50-RedCaps12M: direct link, hf CLI and curl.
- Browser
- Download file 408 MB
-
https://huggingface.co/thaottn/OpenCLIP-resnet50-RedCaps12M/resolve/main/open_clip_pytorch_model.bin
- Command line
-
hf download hf://thaottn/OpenCLIP-resnet50-RedCaps12M/open_clip_pytorch_model.bin
-
curl -L -o open_clip_pytorch_model.bin https://huggingface.co/thaottn/OpenCLIP-resnet50-RedCaps12M/resolve/main/open_clip_pytorch_model.bin
408 MB
- Xet hash:
- 4a034bd776193d24e7257adf7aaf2c12bd6bab76ee8c2057b5e397dcdc9fdb50
- Size of remote file:
- 408 MB
- SHA256:
- 61e9cfa1f11232cba9b92fd4f875a43b7e2a8f6cbbc2b590a9fca9c317337db1
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