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
Download dino_checkpoint.pth.tar from wisdomik/QuiltNet-B-32: direct link, hf CLI and curl.
- Browser
- Download file 26.7 kB
-
https://huggingface.co/wisdomik/QuiltNet-B-32/resolve/main/dino_checkpoint.pth.tar
- Command line
-
hf download hf://wisdomik/QuiltNet-B-32/dino_checkpoint.pth.tar
-
curl -L -o dino_checkpoint.pth.tar https://huggingface.co/wisdomik/QuiltNet-B-32/resolve/main/dino_checkpoint.pth.tar
26.7 kB
- Xet hash:
- 226ef703a2ecf07e88aab61877ef735476361afe1d38d6a2d05ca5b9acfeaff2
- Size of remote file:
- 26.7 kB
- SHA256:
- 33bdd5cd37bc56cf0753f8d00332fb5de99df0e8b52b06fd9bcdfbce49fed5a5
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