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anira-project
/
mediapipe-gesture-recognizer

Keypoint Detection
LiteRT
Core ML
ONNX
ExecuTorch
LiteRT
anira
mediapipe
hand-tracking
gesture-recognition
real-time
libtorch
vulkan
Model card Files Files and versions
xet
Community

Instructions to use anira-project/mediapipe-gesture-recognizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • LiteRT

    How to use anira-project/mediapipe-gesture-recognizer with LiteRT:

    # No code snippets available yet for this library.
    
    # To use this model, check the repository files and the library's documentation.
    
    # Want to help? PRs adding snippets are welcome at:
    # https://github.com/huggingface/huggingface.js
  • Notebooks
  • Google Colab
  • Kaggle
mediapipe-gesture-recognizer / export
13.1 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
vackva's picture
vackva
Every model on every engine and backend, its state as tensors, checked over consecutive calls
14874fc verified about 16 hours ago
  • export_coreml.py
    2.7 kB
    Add the models as Core ML ML programs for anira's native Core ML engine, and the export script that makes them about 18 hours ago
  • export_executorch.py
    4.55 kB
    Every model on every engine and backend, its state as tensors, checked over consecutive calls about 16 hours ago
  • onnx_to_torch.py
    5.85 kB
    Add the models as Core ML ML programs for anira's native Core ML engine, and the export script that makes them about 18 hours ago