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:
- 4dedcd523ec00175031e32bc7aa79454f1d9af1e245621b5931ccd2590d87764
- Size of remote file:
- 475 kB
- SHA256:
- 9d9cf874199640cbd67964e0ed9a7766e08d91fc5fe17fcab3033d262ea22866
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