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TensorFlow Lite Support

TFLite Support is a toolkit that helps users to develop ML and deploy TFLite models onto mobile devices. It works cross-Platform and is supported on Java, C++ (WIP), and Swift (WIP). The TFLite Support project consists of the following major components:

TFLite Support library serves different tiers of deployment requirements from easy onboarding to fully customizable. There are three major use cases that TFLite Support targets at:

See the documentation on tensorflow.org for more instruction and examples.

Build Instructions

We use Bazel to build the project. When you're building the Java (Android) Utils, you need to set up following env variables correctly:

How to contribute

Please issue a pull request and assign @lu-wang-g for a code review.

Contact us

Let us know what you think about TFLite Support by creating a new Github issue, or email us at tflite-support-team@google.com.