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
Upload swell_kf0.pt with huggingface_hub
Browse files- swell_kf0.pt +3 -0
swell_kf0.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:519911dea749d637c84ebc9bf3a0acb4f72ab8786399d83876d434f4e9ad0a1a
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size 3186818
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