Instructions to use dkrak737/battery-ct-defect-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use dkrak737/battery-ct-defect-models with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("dkrak737/battery-ct-defect-models") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7963c65254f4417c6c0c19ad7aaeec8cb1c50153eff29ea443f345c8955554fc
- Size of remote file:
- 5.46 MB
- SHA256:
- e11c73f36a3453f4b303a0ce4bd442ab4ac9db125052920eb1a8ff3af78fbdf1
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