Instructions to use FrameNetBrasil/reinventa-yolo-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use FrameNetBrasil/reinventa-yolo-detection with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("FrameNetBrasil/reinventa-yolo-detection") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f17023e3e272112b967a63b508de14eb6feb3d1d460d3ba825ae063e1ce65487
- Size of remote file:
- 52.8 MB
- SHA256:
- 22e88ccc6cb66ce4350cf4df8badca99cb84beb6e7a212324ec239b735a6a0d7
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