
MNN for embedded neural network inference
Convert trained models for inference in mobile and edge applications.
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Convert trained models for inference in mobile and edge applications.

Build native Rust programs around tensors and model implementations.

Take an exported PyTorch program into a lightweight runtime for edge devices.

Execute exported ONNX models with execution providers suited to the target device.

Generate with, quantize and adapt supported language models using MLX.

Work with array operations, automatic differentiation and model execution on Apple silicon.
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