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/train_batch2.jpg from Adit-jain/soccana: direct link, hf CLI and curl.
- Browser
- Download file 383 kB
-
https://huggingface.co/Adit-jain/soccana/resolve/main/Model/train_batch2.jpg
- Command line
-
hf download hf://Adit-jain/soccana/Model/train_batch2.jpg
-
curl -L -o train_batch2.jpg https://huggingface.co/Adit-jain/soccana/resolve/main/Model/train_batch2.jpg
383 kB

- Xet hash:
- 57c78ea457e1dfd3ed45fdfce838649fbbd8f132143bea4012912bbb7bf67b05
- Size of remote file:
- 383 kB
- SHA256:
- 211dd5c039f3b0154aef99256e133e72ce87d1dc62a273a6bd49486465e5a314
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