---
id: pte-adapter-model-explorer
version: "0.1.2"
license: Apache-2.0
license_treatment: permissive
maintenance: active
---

# pte-adapter-model-explorer — Adapter for Model Explorer to support PTE files for Ethos-U and VGF targets

License: permissive · Maintenance: active · Downloads: 92.8K/mo

## What it is and what it does

This package is a plugin for Model Explorer that adds support for visualizing PyTorch Executorch PTE files. It integrates with Model Explorer's extension system to enable inspection and debugging of neural network models compiled for specific hardware targets: Arm Ethos-U NPU, Arm VGF, and XNNPACK backends.

You install it alongside ai-edge-model-explorer and activate it via a command-line flag. Once enabled, it allows you to load and inspect PTE files in Model Explorer's graphical interface, making it useful for developers working with Executorch models on Arm hardware or XNNPACK targets. The package depends on ai-edge-model-explorer, vgf-adapter-model-explorer, tosa-adapter-model-explorer, and flatbuffers, and runs on Linux, macOS, and Windows.

Use it for:

- Visualize and debug Executorch models compiled for Arm Ethos-U NPU deployment.
- Inspect model graphs and operations for Arm VGF backend targets.
- Analyze XNNPACK-compiled models in a graphical interface.
- Verify model structure and layer connectivity before deploying to edge devices.
- Troubleshoot model compilation issues by examining the resulting PTE file structure.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Extends Model Explorer with visualization support for PyTorch Executorch PTE files targeting Arm Ethos-U NPU, Arm VGF, and XNNPACK backends.

Yes, if you work with PyTorch Executorch models targeting Arm or XNNPACK backends and need to visualize or debug them. The package is actively maintained, has low install friction, carries a permissive license, and integrates cleanly into Model Explorer. The Beta status and small user base suggest it is specialized rather than production-hardened, so verify it supports your specific backend before committing.

## Install

pip install pte-adapter-model-explorer
uv add pte-adapter-model-explorer
poetry add pte-adapter-model-explorer

## Installing pte-adapter-model-explorer

Before you install: Low friction install with a pure-Python wheel. Active maintenance with recent releases. Requires Python >=3.10, <3.13 and runs on Linux, macOS, and Windows.

License in practice: Apache-2.0 permissive license allows commercial and private use with minimal restrictions.

Quickstart:

pip install pte-adapter-model-explorer ai-edge-model-explorer
model-explorer --extensions=pte_adapter_model_explorer

Requires Python >=3.10, <3.13. ai-edge-model-explorer must be installed separately.

Verify before relying:

- Whether the adapter works with all three backends equally well or has known limitations.
- Performance characteristics when visualizing large PTE models.
- Whether the adapter is production-ready despite Beta development status.

## Package facts

- License: Apache-2.0 (permissive)
- Python support: capped_below_current
- Install friction: low
- Maintenance: active
- Downloads: 92.8K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

pte file visualization, model explorer adapter, executorch model debugging, arm ethos-u visualization, neural network model inspection, pytorch executorch tools, model-visualization, executorch, edge-ai

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