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dl1wjd2
/
Logistics_AX

Object Detection
ultralytics
yolo26
pose-estimation
pallet
Model card Files Files and versions
xet
Community

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
Logistics_AX / hug /lib /python3.12 /site-packages /certifi
245 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
dl1wjd2's picture
dl1wjd2
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  • __pycache__
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  • tests
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  • __init__.py
    94 Bytes
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  • __main__.py
    243 Bytes
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  • cacert.pem
    236 kB
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  • core.py
    3.39 kB
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  • py.typed
    0 Bytes
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