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webnn
/
yolov8m

Object Detection
ultralytics
ONNX
tracking
instance-segmentation
image-classification
pose-estimation
obb
yolo
yolov8
Model card Files Files and versions
xet
Community

Instructions to use webnn/yolov8m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • ultralytics

    How to use webnn/yolov8m 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("webnn/yolov8m", "<weights>.pt")
    model = YOLO(weights)
    source = 'http://images.cocodataset.org/val2017/000000039769.jpg'
    model.predict(source=source, save=True)
  • Notebooks
  • Google Colab
  • Kaggle
yolov8m
104 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 17 commits
ibelem's picture
ibelem
Update config.json
0b0cfc3 verified about 1 year ago
  • onnx
    Upload model_fp16.onnx over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    902 Bytes
    Update README.md over 1 year ago
  • config.json
    3.18 kB
    Update config.json about 1 year ago
  • preprocessor_config.json
    269 Bytes
    Create preprocessor_config.json over 1 year ago
  • yolov8m.pt
    52.1 MB
    xet
    Upload yolov8m.pt over 1 year ago