Instructions to use visaitech/vehicle-mixed-traffic-yolo26n with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use visaitech/vehicle-mixed-traffic-yolo26n with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("visaitech/vehicle-mixed-traffic-yolo26n") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- ab3b44aa9cc764d01c33a6a6216ba18d519ae1249c59e8ec610fda274b43dde1
- Size of remote file:
- 3.38 MB
- SHA256:
- b92426b481cff8b256b5c4b2e18da818a63c9078006574d06d3783e5efacff8f
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