Instructions to use rujutashashikanjoshi/yolo26-vehicle-detection-4139_full-v2_1-100m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use rujutashashikanjoshi/yolo26-vehicle-detection-4139_full-v2_1-100m with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("rujutashashikanjoshi/yolo26-vehicle-detection-4139_full-v2_1-100m") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4df1717d6e4b7307c61beaa2d9c5ccb0670487bb80c0a34904d2dd60c5707532
- Size of remote file:
- 44 MB
- SHA256:
- f009c8b785c93dc089c576c1a87a7192dde6afd6a52ec1e26d61993c2cf3a4c7
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