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mmoz-root
/
kernelvision

Object Detection
ultralytics
ONNX
TensorRT
yolov8
fp16
gpu-optimization
computer-vision
Model card Files Files and versions
xet
Community

Instructions to use mmoz-root/kernelvision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • ultralytics

    How to use mmoz-root/kernelvision 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("mmoz-root/kernelvision", "<weights>.pt")
    model = YOLO(weights)
    source = 'http://images.cocodataset.org/val2017/000000039769.jpg'
    model.predict(source=source, save=True)
  • TensorRT

    How to use mmoz-root/kernelvision with TensorRT:

    # No code snippets available yet for this library.
    
    # To use this model, check the repository files and the library's documentation.
    
    # Want to help? PRs adding snippets are welcome at:
    # https://github.com/huggingface/huggingface.js
  • Notebooks
  • Google Colab
  • Kaggle
kernelvision
19.4 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
mmoz-root's picture
mmoz-root
Align shared attribution with published ONNX artifacts
cebc922 verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • LICENSE
    34.5 kB
    Publish validated KernelVision ONNX deployment graphs about 2 months ago
  • README.md
    4.62 kB
    Align shared attribution with published ONNX artifacts about 2 months ago
  • THIRD_PARTY_NOTICES.md
    1.81 kB
    Align shared attribution with published ONNX artifacts about 2 months ago
  • yolov8n_fp32.onnx
    12.8 MB
    xet
    Publish validated KernelVision ONNX deployment graphs about 2 months ago
  • yolov8n_mixed_fp16.onnx
    6.5 MB
    xet
    Publish validated KernelVision ONNX deployment graphs about 2 months ago