tf._saved_model() ( recommended): Converts.Result, you have the following three options (examples are in the next few The low-level tf.* APIs (from which you generate concrete functions). Generated either using the high-level tf.keras.* APIs (a Keras model) or Helper code: To learn more about the TensorFlow Lite converterĪPI, run print(help(tf.lite.TFLiteConverter)).Ī TensorFlow model is stored using the SavedModel format and is Note: In case you encounter any issues during model conversion, create a Command line: This only supports basic model conversion.This allows you to integrate the conversion into your development pipeline,Īpply optimizations, add metadata and many other tasks that simplify You can convert your model using one of the following options: The diagram below illustrations the high-level workflow for converting To identify the installed TensorFlow version, run If your model is trained in TensorFlow 1.x, considering tflite file extension) using the TensorFlow Lite converter. This page describes how to convert a TensorFlow model

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