Installation

The ABR SDK is delivered in two parts: the Python package, which is the programming interface you install with pip, and an application package, which contains the neural network and compiled inference backend for your target device. You need both to run the SDK.

Prerequisites

Python 3.10 or later is required.

Install the SDK

pip install abr-sdk

If your project uses uv:

uv add abr-sdk

Get an application package

The neural network and the compiled inference backend are delivered in an application package, a zip file you download from the ABR developer portal after logging in.

Each package is built for a specific combination of functionality (ASR or TTS), language, model variant, and hardware platform. Packaging them separately keeps the Python install small and lets you choose the package that fits your device.

A package filename encodes those dimensions. For example, niagara-38m-live.en-linux-x86_64.tar.gz is an English ASR package for x86-64 Linux. Download the package that matches your target device and use case.

Extract the package

Extract the package into a directory on the device that will run the SDK:

mkdir -p ~/abr-packages
tar xzf niagara-38m-live.en-linux-x86_64.tar.gz -C ~/abr-packages

The extracted directory contains a shared library, neural network weight files, and supporting configuration. Keep all of these files together in the same directory, the SDK loads the library and weights as a unit at runtime. Moving the shared library file out of the directory will break loading.

Verify

Confirm the Python package installed correctly:

import abr_sdk
print(abr_sdk.__version__)

You should see the SDK version number. This checks only the Python package; it does not load the application package.

Next steps

ASR quickstart: produce your first transcript.