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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 /cuda /pathfinder /_dynamic_libs
189 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
dl1wjd2's picture
dl1wjd2
Upload folder using huggingface_hub (part 3)
f5fb003 verified 3 days ago
  • __pycache__
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  • descriptor_catalog.py
    25.2 kB
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  • dynamic_lib_subprocess.py
    5.17 kB
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  • lib_descriptor.py
    753 Bytes
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  • load_dl_common.py
    1.67 kB
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  • load_dl_linux.py
    8.23 kB
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  • load_dl_windows.py
    6.99 kB
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  • load_nvidia_dynamic_lib.py
    13.2 kB
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  • platform_loader.py
    1.44 kB
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  • search_platform.py
    9.75 kB
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  • search_steps.py
    10.1 kB
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  • subprocess_protocol.py
    2.71 kB
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  • supported_nvidia_libs.py
    6.84 kB
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