Keypoint Detection
LiteRT
Core ML
ONNX
ExecuTorch
LiteRT
anira
mediapipe
hand-tracking
gesture-recognition
real-time
libtorch
vulkan
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
Download executorch/gesture_embedder.pte from anira-project/mediapipe-gesture-recognizer: direct link, hf CLI and curl.
- Browser
- Download file 552 kB
-
https://huggingface.co/anira-project/mediapipe-gesture-recognizer/resolve/main/executorch/gesture_embedder.pte
- Command line
-
hf download hf://anira-project/mediapipe-gesture-recognizer/executorch/gesture_embedder.pte
-
curl -L -o gesture_embedder.pte https://huggingface.co/anira-project/mediapipe-gesture-recognizer/resolve/main/executorch/gesture_embedder.pte
552 kB
- Xet hash:
- 766173ab14df9140187f2754a55ec77df6128793179656a644c16ad59307c6fb
- Size of remote file:
- 552 kB
- SHA256:
- f8c76f7595077af5b451ce628158ec5569076467b23f0e513001a539fd13a8c1
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