Instructions to use AlessandroFerrante/StreetSignSenseY12m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use AlessandroFerrante/StreetSignSenseY12m with ultralytics:
from ultralytics import YOLOvv12 model = YOLOvv12.from_pretrained("AlessandroFerrante/StreetSignSenseY12m") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- fd5866d7a5df9ed2308cfea8781579561c65869182e6a0c740ebea6dac062ad7
- Size of remote file:
- 457 kB
- SHA256:
- 5177f02cc94bb27b8ba76e64da3ba4c0241d92e71f70a4c803da2ea20c127edd
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