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:
- 96d11a0bb0bbaaf86d8198d5dccd76c034e4832f8f42ba631782b2a777a12412
- Size of remote file:
- 32.3 kB
- SHA256:
- 6c27d87554d26eb366b4b0f1239c1e23d28bd64c98cd3150fd4e0d605d4de7b0
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