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hf-internal-testing
/
tiny-random-VitPoseForPoseEstimation

Keypoint Detection
Transformers
ONNX
Safetensors
vitpose
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

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

    # Load model directly
    from transformers import AutoImageProcessor, VitPoseForPoseEstimation
    
    processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-VitPoseForPoseEstimation")
    model = VitPoseForPoseEstimation.from_pretrained("hf-internal-testing/tiny-random-VitPoseForPoseEstimation")
  • Notebooks
  • Google Colab
  • Kaggle
tiny-random-VitPoseForPoseEstimation
9.83 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
Xenova's picture
Xenova HF Staff
Upload model.onnx
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  • onnx
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  • .gitattributes
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  • README.md
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  • config.json
    1.88 kB
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  • model.safetensors
    4.76 MB
    xet
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  • preprocessor_config.json
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