Instructions to use Ashgibbs/Cosmetic_Defect_Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use Ashgibbs/Cosmetic_Defect_Detection with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("Ashgibbs/Cosmetic_Defect_Detection") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 28e6e74f637af2f007f11b27ea86dadf3bb6e231bb14ea26b978c64c1d0b53cd
- Size of remote file:
- 44 MB
- SHA256:
- 1964839ef9ced15585c359e471d0f650bf8dbfc5076c969826a34030d40a0ffa
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