Instructions to use JCTN/adetailer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use JCTN/adetailer with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("JCTN/adetailer") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c9f9d461aa70aa2b2ab5f6ce5c693cec1a8c169dae23a3de5fb9646ade7e6c65
- Size of remote file:
- 23.9 MB
- SHA256:
- c319c15e86443ea61f70b40620909d737c47ff2a39381536503ac5c54772f8ac
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