Instructions to use mayanktak15/yolo8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use mayanktak15/yolo8 with ultralytics:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("mayanktak15/yolo8", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download src/visualization/__init__.py from mayanktak15/yolo8: direct link, hf CLI and curl.
- Browser
- Download file 60 Bytes
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https://huggingface.co/mayanktak15/yolo8/resolve/main/src/visualization/__init__.py
- Command line
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hf download hf://mayanktak15/yolo8/src/visualization/__init__.py
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curl -L -o __init__.py https://huggingface.co/mayanktak15/yolo8/resolve/main/src/visualization/__init__.py
60 Bytes
| """Visualization helpers for annotated video and plots.""" | |