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:
- d722d4befa821d465bac53ab85c6a839a541f6e378ebe5e4001f38a384db606e
- Size of remote file:
- 276 kB
- SHA256:
- d5a7946788b041323e34a8e4cbde1156c5512128b115d68603e9f5ddae215f16
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