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:
- 462effde03a58f6989a9c1583f1396c76bac92666c5aa8a71195fb0d88d4c28d
- Size of remote file:
- 392 kB
- SHA256:
- 91e0c49d0514d5ea8e183b9523e41e48e39a8584a37381f08a9a39e157879abe
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