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:
- c129f58718a9407658562ffb5f15ffd0c01b44b5f98adaff4f000fce5f96ac76
- Size of remote file:
- 101 kB
- SHA256:
- 46e53b52e8adc426993113459ea5dd71926c71ef9d05e535e3087090f9c813e6
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