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MLIA Model Explorer Plugin

This package provides a post-analysis plugin for ML Inference Advisor (MLIA). It exports MLIA standardized output into Model Explorer-oriented artifacts and builds a standalone HTML page using the vendored embedded Model Explorer visualizer component.

Model conversion uses the ai-edge-model-explorer Python APIs, while browser rendering uses the vendored embedded Model Explorer visualizer. The generated page is self-contained and does not start the Python Model Explorer web server.

Documentation

Structured documentation lives in docs/README.md. Start with:

Installation

Install the plugin in the same Python environment as MLIA:

python -m pip install mlia-model-explorer

The base package supports .pt2 and .tflite. Optional extras provide .onnx, .spv and .vgf adapters; see the model adapter matrix for installation commands and format-specific details.

Usage

mlia check MODEL --target-profile TARGET --compatibility --model-explorer files
mlia check MODEL --target-profile TARGET --compatibility --model-explorer open

The files mode writes artifacts and builds the standalone HTML page. The open mode additionally opens that page in the default browser.

Generated artifacts are written under mlia-output/model-explorer/. The standalone HTML page is written to mlia-output/model-explorer/bundle/index.html. It can be opened directly from file:// without separate runtime or data files.

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