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:
- fc1df805c00dfc19754397beb1569d3b5f59e2c3ca23c3690f4368a675e1be9e
- Size of remote file:
- 132 MB
- SHA256:
- c22fab593064e353e6d707bfdc7bf368c6668c5513f57b746cd7037112e72aff
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