Instructions to use Ultralytics/YOLOv5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use Ultralytics/YOLOv5 with ultralytics:
from ultralytics import YOLOvv5 model = YOLOvv5.from_pretrained("Ultralytics/YOLOv5") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8effe2fb4b673cf2c626156c9b46166e2b36359e5a6749818b488fc25f7f3352
- Size of remote file:
- 14.8 MB
- SHA256:
- 8b3b748c1e592ddd8868022e8732fde20025197328490623cc16c6f24d0782ee
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