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harness-race
/
control-r3

Object Detection
Transformers
Safetensors
PyTorch
English
detr
vision
document-layout
newspaper
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use harness-race/control-r3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use harness-race/control-r3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("object-detection", model="harness-race/control-r3")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForObjectDetection
    
    processor = AutoImageProcessor.from_pretrained("harness-race/control-r3")
    model = AutoModelForObjectDetection.from_pretrained("harness-race/control-r3", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
control-r3
167 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
davanstrien's picture
davanstrien HF Staff
Add training script
5e0e2de verified about 24 hours ago
  • .gitattributes
    1.52 kB
    initial commit about 24 hours ago
  • README.md
    6.47 kB
    Add proper model card with validation results about 24 hours ago
  • config.json
    1.6 kB
    Upload DetrForObjectDetection about 24 hours ago
  • model.safetensors
    167 MB
    xet
    Upload DetrForObjectDetection about 24 hours ago
  • preprocessor_config.json
    765 Bytes
    Upload processor about 24 hours ago
  • train_detr.py
    11 kB
    Add training script about 24 hours ago
  • val_metrics.json
    407 Bytes
    Upload val_metrics.json with huggingface_hub about 24 hours ago