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hf-internal-testing
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tiny-random-GroundingDinoForObjectDetection

Zero-Shot Object Detection
Transformers
ONNX
Safetensors
grounding-dino
Model card Files Files and versions
xet
Community

Instructions to use hf-internal-testing/tiny-random-GroundingDinoForObjectDetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hf-internal-testing/tiny-random-GroundingDinoForObjectDetection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-object-detection", model="hf-internal-testing/tiny-random-GroundingDinoForObjectDetection")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForZeroShotObjectDetection
    
    processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-GroundingDinoForObjectDetection")
    model = AutoModelForZeroShotObjectDetection.from_pretrained("hf-internal-testing/tiny-random-GroundingDinoForObjectDetection")
  • Notebooks
  • Google Colab
  • Kaggle
tiny-random-GroundingDinoForObjectDetection / onnx
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  • 1 contributor
History: 1 commit
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Xenova HF Staff
Upload model.onnx
40b8ec4 verified over 1 year ago
  • model.onnx
    32.4 MB
    xet
    Upload model.onnx over 1 year ago