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:
- c7511f9e8617321920d4455f3caedf9dd98e05583295d56b0d9b0f9cd00ef410
- Size of remote file:
- 605 MB
- SHA256:
- 0c8d73fe0c88681828883e352d36a1696b14b6cafac690e23322a7e5bd5876ea
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