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
Upload weights/epoch40.pt with huggingface_hub
Browse files- weights/epoch40.pt +3 -0
weights/epoch40.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:f69738c2abb1c9f3f50387a2849106b500af3683736efeab5dbf4951b4582a36
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size 131511468
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