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 huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("AlessandroFerrante/StreetSignSenseY12m", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download metrics/results.png from AlessandroFerrante/StreetSignSenseY12m: direct link, hf CLI and curl.
- Browser
- Download file 276 kB
-
https://huggingface.co/AlessandroFerrante/StreetSignSenseY12m/resolve/main/metrics/results.png
- Command line
-
hf download hf://AlessandroFerrante/StreetSignSenseY12m/metrics/results.png
-
curl -L -o results.png https://huggingface.co/AlessandroFerrante/StreetSignSenseY12m/resolve/main/metrics/results.png
276 kB

- Xet hash:
- d722d4befa821d465bac53ab85c6a839a541f6e378ebe5e4001f38a384db606e
- Size of remote file:
- 276 kB
- SHA256:
- d5a7946788b041323e34a8e4cbde1156c5512128b115d68603e9f5ddae215f16
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