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:
- 804148a06492c86262abbf4be8371ad7562d2ffc4bd4c26a48bc8bc0a167bbc5
- Size of remote file:
- 274 kB
- SHA256:
- 178b9226e48da25f794b617edc8e91747e6ca65289ddf7bf5e1acd439a1851b6
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