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:
- 315034b9989988d9cef38f54766e3b258c1066c73fef5bae4e00648207aec017
- Size of remote file:
- 605 MB
- SHA256:
- e88815d05f50493a54fc2bab7ccf54075d24339d7b217e6f173c0c158ace92e7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.