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:
- 1f9790242533cc87585ffff9f6afd127d5b0d7a1483b2fbe6dad0a6b57801344
- Size of remote file:
- 57.1 MB
- SHA256:
- cebfe600af3508e56a8907bafe7b9374c43ad05aa8910de5a4c06a0c3604026f
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