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harness-race
/
opencode-r2

Object Detection
Transformers
Safetensors
detr
computer-vision
text-detection
historical-documents
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use harness-race/opencode-r2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use harness-race/opencode-r2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("object-detection", model="harness-race/opencode-r2")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForObjectDetection
    
    processor = AutoImageProcessor.from_pretrained("harness-race/opencode-r2")
    model = AutoModelForObjectDetection.from_pretrained("harness-race/opencode-r2", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
opencode-r2
167 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
davanstrien's picture
davanstrien HF Staff
report validation results
de537b2 verified about 15 hours ago
  • .gitattributes
    1.52 kB
    initial commit about 16 hours ago
  • README.md
    4.17 kB
    report validation results about 15 hours ago
  • config.json
    1.87 kB
    fine-tuned DETR on loc_beyond_words about 15 hours ago
  • model.safetensors
    167 MB
    xet
    fine-tuned DETR on loc_beyond_words about 15 hours ago
  • preprocessor_config.json
    468 Bytes
    fine-tuned DETR on loc_beyond_words about 15 hours ago
  • train.py
    15.1 kB
    fix: move labels to device about 16 hours ago