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:
- df8fc18aa0618fdf941c4e2d0fa0f499054da532adae1d48ef422d0509f66e17
- Size of remote file:
- 498 kB
- SHA256:
- 70b9facde37d476e2391f01167fd030aec84c04b68340640246d62ba50ad0f92
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