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mcity-data-engine
/
fisheye8k_microsoft_conditional-detr-resnet-50

Object Detection
Transformers
PyTorch
TensorBoard
conditional_detr
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
5

Instructions to use mcity-data-engine/fisheye8k_microsoft_conditional-detr-resnet-50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mcity-data-engine/fisheye8k_microsoft_conditional-detr-resnet-50 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("object-detection", model="mcity-data-engine/fisheye8k_microsoft_conditional-detr-resnet-50")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForObjectDetection
    
    processor = AutoImageProcessor.from_pretrained("mcity-data-engine/fisheye8k_microsoft_conditional-detr-resnet-50")
    model = AutoModelForObjectDetection.from_pretrained("mcity-data-engine/fisheye8k_microsoft_conditional-detr-resnet-50")
  • Notebooks
  • Google Colab
  • Kaggle
fisheye8k_microsoft_conditional-detr-resnet-50 / runs /Feb12_11-43-31_mcity-rtx-4090
6.16 kB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 1 commit
Daniel Bogdoll
End of training
0d2399e verified over 1 year ago
  • events.out.tfevents.1739378611.mcity-rtx-4090.1808996.0
    6.16 kB
    xet
    End of training over 1 year ago