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roboseasylabs
/
red_cube_yolo

Object Detection
ultralytics
yolo
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use roboseasylabs/red_cube_yolo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • ultralytics

    How to use roboseasylabs/red_cube_yolo 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("roboseasylabs/red_cube_yolo", "<weights>.pt")
    model = YOLO(weights)
    source = 'http://images.cocodataset.org/val2017/000000039769.jpg'
    model.predict(source=source, save=True)
  • Notebooks
  • Google Colab
  • Kaggle
red_cube_yolo
10.8 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
HueyWoo's picture
HueyWoo
Upload YOLO weights from run 'cube'
c83db62 verified about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    1.94 kB
    Upload YOLO weights from run 'cube' about 1 month ago
  • best.pt
    5.38 MB
    xet
    Upload YOLO weights from run 'cube' about 1 month ago
  • last.pt
    5.38 MB
    xet
    Upload YOLO weights from run 'cube' about 1 month ago