Introducing LiteRT: Google's high-performance runtime for on-device AI, formerly known as TensorFlow Lite.
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Supporting multiple frameworks with TFLite
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The machine learning (ML) models you use with LiteRT can be trained
using JAX, PyTorch or TensorFlow and then converted to a TFLite flatbuffer
format.
See the following pages for more details:
An overview of the TFLite Converter which is an important component of
supporting different frameworks with TFLite is on Model conversion
overview.
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Last updated 2024-08-30 UTC.
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