How to convert python model to TensorFlow Lite


TensorFlow is a powerful tool that help us to integrate python in Mobile app. I already wrote a blog about the TensorFlow implementation in iOS. Click here to Visit blog.

In this blog, I will show how to convert a model to .tflite. We assume that you have already created a model in Python.You have the following two options for using the converter:

  1. Python API (recommended): This makes it easier to convert models as part of the model development pipeline, apply optimisations, add metadata and has many more features.
  2. Command line: This only supports basic model conversion.

Let start:

1. Using Python: Suppose we have model in directory  fruits.

Note: you can execute this code from local or colab.

2. Using C
ommand: To execute the cmd you have to install TensorFlow with pip in your system. Here is the step to install TenserFlow.

Now run below command.

Visit git reference to know about command.
Note: TensorFlow not recommended this because it only supports basic model conversion.

How to convert python model to TensorFlow Lite

Using this code and command we can easily create MobileNet mode.

I hope this Blog will help you to create .tflite file. If you feel any doubt or query please comment below.

Visit my other blogs click here.

Thank you.

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  • faiza
    i have converted the .pb file but it will not be converted to tflite… i have yolov3-tiny model.
  • Srimaha
    I can’t find where is my saved model path and my yolov5 model name. What to do?
  • jitendra kumar (Moderator)
    You can get your model in your saved output_file.
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