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:
- 9d28fa7278f56b20719e1b6d29f4f0c0360a314d5f06fcd3525c0edd7e7823a4
- Size of remote file:
- 334 MB
- SHA256:
- 3948262657edd08648261de9e5b0a74a07a8d5ee302573c900c7b0c2380a8cb0
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