Instructions to use wisdomik/QuiltNet-B-16-PMB with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use wisdomik/QuiltNet-B-16-PMB with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:wisdomik/QuiltNet-B-16-PMB') tokenizer = open_clip.get_tokenizer('hf-hub:wisdomik/QuiltNet-B-16-PMB') - Notebooks
- Google Colab
- Kaggle
Download open_clip_pytorch_model.bin from wisdomik/QuiltNet-B-16-PMB: direct link, hf CLI and curl.
- Browser
- Download file 784 MB
-
https://huggingface.co/wisdomik/QuiltNet-B-16-PMB/resolve/main/open_clip_pytorch_model.bin
- Command line
-
hf download hf://wisdomik/QuiltNet-B-16-PMB/open_clip_pytorch_model.bin
-
curl -L -o open_clip_pytorch_model.bin https://huggingface.co/wisdomik/QuiltNet-B-16-PMB/resolve/main/open_clip_pytorch_model.bin
784 MB
- Xet hash:
- 34794e8f4841ce4dbf435c694610d54de98c57a42b27cb34533ba325fccfbcf2
- Size of remote file:
- 784 MB
- SHA256:
- 642a4702d0fc9fd0ab0388d0340cb19ff8d234fd79155679d88f78e4ac0880e1
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