tensorflow/lite/g3doc/api_docs/python/tf/lite.md
page_type: reference description: Public API for tf.lite namespace.
<link rel="stylesheet" href="/site-assets/css/style.css"> <!-- DO NOT EDIT! Automatically generated file. --> <div itemscope itemtype="http://developers.google.com/ReferenceObject"> <meta itemprop="name" content="tf.lite" /> <meta itemprop="path" content="Stable" /> </div>Public API for tf.lite namespace.
experimental module: Public API for tf.lite.experimental namespace.
class Interpreter: Interpreter interface for running TensorFlow Lite models.
class OpsSet: Enum class defining the sets of ops available to generate TFLite models.
class Optimize: Enum defining the optimizations to apply when generating a tflite model.
class RepresentativeDataset: Representative dataset used to optimize the model.
class TFLiteConverter: Converts a TensorFlow model into TensorFlow Lite model.
class TargetSpec: Specification of target device used to optimize the model.