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_coreml.pte from anira-project/mediapipe-gesture-recognizer: direct link, hf CLI and curl.
- Browser
- Download file 345 kB
-
https://huggingface.co/anira-project/mediapipe-gesture-recognizer/resolve/main/executorch/gesture_embedder_coreml.pte
- Command line
-
hf download hf://anira-project/mediapipe-gesture-recognizer/executorch/gesture_embedder_coreml.pte
-
curl -L -o gesture_embedder_coreml.pte https://huggingface.co/anira-project/mediapipe-gesture-recognizer/resolve/main/executorch/gesture_embedder_coreml.pte
345 kB
- Xet hash:
- 040e89314bd331b9a7966818b402597ca0a8dc106ac8a1715ba6fc7c9950213c
- Size of remote file:
- 345 kB
- SHA256:
- 4cfa797982a4d07af03c1cdb34d41ced70d6842e514e9d0f7013db1b2ca6521d
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