dc-dc-dc/mlx-lite

A package for running tflite files in MLX.

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Experimental

This tool helps machine learning engineers and researchers deploy pre-trained TensorFlow Lite models on Apple Silicon (MLX) hardware. It takes a TensorFlow Lite model file as input and allows you to run inferences with MLX arrays, providing a way to leverage Apple's optimized machine learning framework. The primary users are those working with on-device machine learning or seeking performance benefits on macOS.

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Use this if you have a TensorFlow Lite model and want to run it efficiently on Apple Silicon using the MLX framework.

Not ideal if you are not working with TensorFlow Lite models or are not targeting Apple Silicon hardware.

on-device-machine-learning model-deployment machine-learning-inference apple-silicon-optimization ml-engineering

No License Stale 6m No Package No Dependents

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