Instructions to use AlessandroFerrante/StreetSignSenseY12m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use AlessandroFerrante/StreetSignSenseY12m with ultralytics:
from ultralytics import YOLOvv12 model = YOLOvv12.from_pretrained("AlessandroFerrante/StreetSignSenseY12m") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 3da37518a9bd30ac04ba4b9e23d45559867a758c37437649141e98f6d20bb274
- Size of remote file:
- 660 kB
- SHA256:
- 76527bfd03d995b5fcae7534d0b84ee74f143dcc321685d8b358f63060fe3189
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