Instructions to use cvtechniques/CXR-Pneumonia-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use cvtechniques/CXR-Pneumonia-Classification with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("cvtechniques/CXR-Pneumonia-Classification") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8bf101f0c3a30444c026ca9cb16e5912babd5e353e2035fc6633deb1aaa8c01
- Size of remote file:
- 4.07 MB
- SHA256:
- ab4cb93cc78dbc5a748a91ba787d8a6e92944d686d768e541edd222c64aeb169
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.