Instructions to use AlessandroFerrante/StreetSignSenseY12s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use AlessandroFerrante/StreetSignSenseY12s with ultralytics:
from ultralytics import YOLOvv12 model = YOLOvv12.from_pretrained("AlessandroFerrante/StreetSignSenseY12s") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 3c26232ead8b45b907538bd388fce6143a04d94e792233e988b425f90e06e65c
- Size of remote file:
- 235 kB
- SHA256:
- c9a5254513a599c2ee3cfa3ee9420660b52f3b0e0309fde4f74b759ccb9c7a80
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