Instructions to use AlessandroFerrante/StreetSignSenseY12s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use AlessandroFerrante/StreetSignSenseY12s with ultralytics:
from ultralytics import YOLOvv12 model = YOLOvv12.from_pretrained("AlessandroFerrante/StreetSignSenseY12s") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- b7e7dd539da8f424c81c6a63efd3e593d4ef8bff91ee3efc4122d4d3a9d86a6d
- Size of remote file:
- 511 kB
- SHA256:
- 54c703e286bf41cbfac33e216fe8c376f0ad3bfa48e79f3e1a84ee3d0a1a1274
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