convert pytorch model to tflite

Converting a PyTorch model to TensorFlow Lite (TFLite) can be useful when you want to deploy your model on mobile devices or edge devices that support TFLite. In this tutorial, we will walk through the process of converting a PyTorch model to TFLite with a code example.
Ensure you have both PyTorch and TensorFlow installed on your machine. You can install them using the following commands:
TFLite converter supports ONNX format as an intermediate step. We will first convert the PyTorch model to ONNX format.
Now, use the following code to convert your PyTorch model to ONNX format:
Now, we'll use the TensorFlow Lite Converter to convert the ONNX model to TFLite format.
Use the following code to perform the conversion:
This tutorial demonstrated how to convert a PyTorch model to TFLite format using the ONNX intermediate step. Keep in mind that not all PyTorch features may be supported during conversion, so it's essential to test your TFLite model thoroughly. Additionally, make sure to consult the official documentation for any updates or changes in the conversion process.
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