Instructions to use Anzhc/Race-Classification-FairFace-YOLOv8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use Anzhc/Race-Classification-FairFace-YOLOv8 with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("Anzhc/Race-Classification-FairFace-YOLOv8") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f8dc2e0e185f0394f930ba5025ac2a470e5fdfc553564a10c48260fb1a1c0cfa
- Size of remote file:
- 3 MB
- SHA256:
- de34495a0dc8bea82a4d45b8ddd9cdc5fce93dc9592dcd7dc887c79bb0a070d7
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