The Hello World example as provided by the tflite-micro repository
The TensorFlowLite-Micro repository provides the code
creating the hello world neural network model
creating input tensors with x and sin(x) values used to train the model
converting the model to tflite flatbuffer format and quantizing it to int8_t numbers The quantized mode can be read from a file in case of the MicroPython version of the hello world example. The Arduino SDK does not use a file system and the quantized model is therefore converted into C++ code included into the source code of the Arduino hello world version.