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harness-race
/
opencode-r3

Object Detection
Transformers
Safetensors
rt_detr
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

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

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("object-detection", model="harness-race/opencode-r3")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForObjectDetection
    
    processor = AutoImageProcessor.from_pretrained("harness-race/opencode-r3")
    model = AutoModelForObjectDetection.from_pretrained("harness-race/opencode-r3", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
opencode-r3
172 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 17 commits
davanstrien's picture
davanstrien HF Staff
Upload train_detr.py with huggingface_hub
d06c03f verified about 18 hours ago
  • .gitattributes
    1.52 kB
    initial commit about 21 hours ago
  • README.md
    5.17 kB
    Fine-tune RT-DETR-R50 on biglam/loc_beyond_words (Beyond Words) about 21 hours ago
  • config.json
    2.73 kB
    Fine-tune RT-DETR-R50 on biglam/loc_beyond_words (Beyond Words) about 21 hours ago
  • model.safetensors
    172 MB
    xet
    Fine-tune RT-DETR-R50 on biglam/loc_beyond_words (Beyond Words) about 21 hours ago
  • preprocessor_config.json
    488 Bytes
    Update processor about 21 hours ago
  • probe.py
    1.15 kB
    Upload probe.py with huggingface_hub about 19 hours ago
  • train_detr.py
    15.8 kB
    Upload train_detr.py with huggingface_hub about 18 hours ago