Instructions to use Adit-jain/soccana with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use Adit-jain/soccana with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("Adit-jain/soccana") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download Model/val_batch0_pred.jpg from Adit-jain/soccana: direct link, hf CLI and curl.
- Browser
- Download file 552 kB
-
https://huggingface.co/Adit-jain/soccana/resolve/main/Model/val_batch0_pred.jpg
- Command line
-
hf download hf://Adit-jain/soccana/Model/val_batch0_pred.jpg
-
curl -L -o val_batch0_pred.jpg https://huggingface.co/Adit-jain/soccana/resolve/main/Model/val_batch0_pred.jpg
552 kB

- Xet hash:
- 24c0bf49e29252b26bc14f2b863f67720a4d476ce45382e6032356588d590ea4
- Size of remote file:
- 552 kB
- SHA256:
- cb7cb6634dd6ae168551f36c7aee0d3c1a4a64a658bac81265031d4e99b1fac1
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