Zero-Shot Image Classification
OpenCLIP
PyTorch
clip
vision
language
histopathology
histology
medical
Instructions to use wisdomik/QuiltNet-B-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use wisdomik/QuiltNet-B-32 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:wisdomik/QuiltNet-B-32') tokenizer = open_clip.get_tokenizer('hf-hub:wisdomik/QuiltNet-B-32') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e905cbfbdd631f01b27be0eacb99745820e1973acdc3bc6c62cca160ea90cd3
- Size of remote file:
- 334 MB
- SHA256:
- 58ba30828ba8541ab3320e90af217f4be44b7653c77e4e266c121058ca3bb971
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