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TensorFlow Lite

Low-latency inference of on-device ML models

TensorFlow’s lightweight solution for mobile and embedded devices. TensorFlow has always run on many platforms but as the adoption of ML models has grown exponentially over the last few years, so has the need to deploy them on mobile and embedded devices. TensorFlow Lite enables low-latency inference of on-device machine learning models.

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Announcing TensorFlow LitePosted by the TensorFlow team It is designed from scratch to be: Lightweight Enables inference of on-device machine learning models with a small binary size and fast initialization/startup Cross-platform A runtime designed to run on many different platforms, starting with Android and iOS Fast Optimized for mobile devices, including dramatically improved model loading times, and supporting hardware acceleration More and more mobile devices today incorporate purpose-built custom hardware to process ML workloads more efficiently.
Google Developers Blog

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