Instructions to use ajcasagrande/rc-race-vision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use ajcasagrande/rc-race-vision with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("ajcasagrande/rc-race-vision") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc6d669729bb5a4c93e0b29e5225ea342c75632e08790e3851ef563142391855
- Size of remote file:
- 19.3 MB
- SHA256:
- 578c4cd560752cec010ae995bffa05d3747d85391abdc8d18f2ad431bbf5e3b1
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