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liamxdev
/
vtsr

Object Detection
ultralytics
ONNX
TensorRT
Vietnamese
yolo
yolov8
torchscript
int8
fp16
vision
traffic-sign
vietnam
Model card Files Files and versions
xet
Community

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

  • Libraries
  • ultralytics

    How to use liamxdev/vtsr with ultralytics:

    from ultralytics import YOLOvv8
    
    model = YOLOvv8.from_pretrained("liamxdev/vtsr")
    source = 'http://images.cocodataset.org/val2017/000000039769.jpg'
    model.predict(source=source, save=True)
  • TensorRT

    How to use liamxdev/vtsr 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
vtsr
15.7 MB
Ctrl+K
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  • 1 contributor
History: 5 commits
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liamxdev
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  • .gitattributes
    178 Bytes
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  • README.md
    5.27 kB
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  • README.vi.md
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  • benchmark.md
    734 Bytes
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  • label-mapping.json
    2.77 kB
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  • vtsr.engine
    5.88 MB
    xet
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  • vtsr.torchscript
    6.43 MB
    xet
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  • vtsr_int8.onnx
    3.37 MB
    xet
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