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:
- 1c86ad48e33eea80fced50ccc9e10ae36582c705f158275a8e727442ed117dd3
- Size of remote file:
- 574 kB
- SHA256:
- f6c090ee5719800072a635e4ceb1f83a49748ebc4e009f88df7eaa1f4f32a38b
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