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.
How it works
Pick a model
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.
Solutions to common problems
Explore optimized TF Lite models and on-device ML solutions for mobile and edge use cases.
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.
See more ways to participate in the TensorFlow community.