Instructions to use AlessandroFerrante/StreetSignSenseY12n with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use AlessandroFerrante/StreetSignSenseY12n with ultralytics:
from ultralytics import YOLOvv12 model = YOLOvv12.from_pretrained("AlessandroFerrante/StreetSignSenseY12n") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa2c5a32cc3cd16bb89e53b8813e059dd55906e1794474d80cad1d6d0a69beaf
- Size of remote file:
- 43.1 kB
- SHA256:
- 0984df3d1f385aeba3d7e63394dfbf1213a2b8cbcfaf301ea132ea6d895a7a7b
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