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1aurent
/
REVA-QCAV

Object Detection
Transformers
ONNX
Safetensors
detr
spheres
photogrammetry
calibration
Model card Files Files and versions
xet
Community

Instructions to use 1aurent/REVA-QCAV with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use 1aurent/REVA-QCAV with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("object-detection", model="1aurent/REVA-QCAV")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForObjectDetection
    
    processor = AutoImageProcessor.from_pretrained("1aurent/REVA-QCAV")
    model = AutoModelForObjectDetection.from_pretrained("1aurent/REVA-QCAV")
  • Notebooks
  • Google Colab
  • Kaggle
REVA-QCAV / examples
2.62 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
1aurent's picture
1aurent
Rename examples/fb4a6944-b98c-11ed-a738-484d7ee7317b.png to examples/synth.png
ae39114 over 2 years ago
  • chevaux.jpg
    684 kB
    Rename cheveaux.jpg to examples/chevaux.jpg over 2 years ago
  • mammouths.jpg
    1.12 MB
    xet
    Rename mammouths.jpg to examples/mammouths.jpg over 2 years ago
  • synth.png
    817 kB
    Rename examples/fb4a6944-b98c-11ed-a738-484d7ee7317b.png to examples/synth.png over 2 years ago