Deploy machine learning models on mobile and edge devices

TensorFlow Lite is a mobile library for deploying models on mobile, microcontrollers and other edge devices.

Guides explain the concepts and components of TensorFlow Lite.

Explore TensorFlow Lite Android and iOS apps.

Learn how to use TensorFlow Lite for common use cases.

Pick a new model or retrain an existing one.

Convert a TensorFlow model into a compressed flat buffer with the TensorFlow Lite Converter.

Take the compressed .tflite file and load it into a mobile or embedded device.

Quantize by converting 32-bit floats to more efficient 8-bit integers or run on GPU.

Identify hundreds of objects, including people, activities, animals, plants, and places.

Detect multiple objects with bounding boxes. Yes, dogs and cats too.

Use a state-of-the-art natural language model to answer questions based on the content of a given passage of text with BERT.

How it works