Instructions to use rujutashashikanjoshi/yolo26-vehicle-detection-4139_full_v1.10-100m 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_v1.10-100m 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_v1.10-100m") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 883493e0307a427fb7edab7c4b07a8412cb95ea9a56c7ae1a75cfb09ae1f110e
- Size of remote file:
- 116 kB
- SHA256:
- d66079474ef2cacbb082ec08c852a63c11671c4cbef7a9fb7e52bce2af4d1e3b
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