Instructions to use ratapan-ngawi/canisight-yolo11n-visual-signs-v3-pilot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use ratapan-ngawi/canisight-yolo11n-visual-signs-v3-pilot with ultralytics:
from ultralytics import YOLOvv11 model = YOLOvv11.from_pretrained("ratapan-ngawi/canisight-yolo11n-visual-signs-v3-pilot") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d5d0fb2084c7f16a72394516e83eb729bd30e71239cb043b07613d07fb5826c3
- Size of remote file:
- 13.2 MB
- SHA256:
- 6e2ca52ac52dc34498f341a66e752d0ac333127e1d84acd8e7b0a58c3bcf007a
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