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:
- 78a799c871ad054c16ce8e86dc6f3418b5ada2f751c3a65fd451adddd8dfc6a7
- Size of remote file:
- 659 kB
- SHA256:
- 529b1d82a740aa5b20de603dd6e7a72f7b3693098a7f20d65c28949881ee8730
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