Instructions to use dl1wjd2/Logistics_AX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use dl1wjd2/Logistics_AX 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("dl1wjd2/Logistics_AX", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download hug/bin/pyftsubset from dl1wjd2/Logistics_AX: direct link, hf CLI and curl.
- Browser
- Download file 186 Bytes
-
https://huggingface.co/dl1wjd2/Logistics_AX/resolve/main/hug/bin/pyftsubset
- Command line
-
hf download hf://dl1wjd2/Logistics_AX/hug/bin/pyftsubset
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curl -L -o pyftsubset https://huggingface.co/dl1wjd2/Logistics_AX/resolve/main/hug/bin/pyftsubset
186 Bytes
| #!/home/jhlee/Hugging_Face/hug/bin/python | |
| import sys | |
| from fontTools.subset import main | |
| if __name__ == '__main__': | |
| sys.argv[0] = sys.argv[0].removesuffix('.exe') | |
| sys.exit(main()) | |