Instructions to use wisdomik/QuiltNet-B-16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use wisdomik/QuiltNet-B-16 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:wisdomik/QuiltNet-B-16') tokenizer = open_clip.get_tokenizer('hf-hub:wisdomik/QuiltNet-B-16') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b29456b2da583914301ca3ab9af7f82ae67256344b7d4130ad155b73f35fe8c5
- Size of remote file:
- 599 MB
- SHA256:
- b059d20776597f0f4ab92635b24b756376fd669b580d6b266c8daa184b0f7379
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