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:
- 69ae68ae1fa920b94adca30af651f0294310c98a4509ff22cb92a557f5406d73
- Size of remote file:
- 599 MB
- SHA256:
- 8561c16fc5daafa9d2494e7e0ec2257e1af3bcfc5bc002c2277a13565cbdf347
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