You may use TensorFlow Lite Python interpreter to test your tflite model. It allows you to feed input data in python shell and read the output directly like you are just using a normal tensorflow model.
Read moreWhat models does TFLite support?
TFLite Support is a toolkit that helps users to develop ML and deploy TFLite models onto mobile devices. It works cross-Platform and is supported on Java, C++ (WIP), and Swift (WIP) .
Read moreHow do I create a TensorFlow model?
Create your model
Read moreHow do you use a TFLite model?
Running a TensorFlow Lite model involves a few simple steps:
Read moreHow do you evaluate a TFLite model?
You may use TensorFlow Lite Python interpreter to test your tflite model. It allows you to feed input data in python shell and read the output directly like you are just using a normal tensorflow model.
Read moreHow do I use TensorFlow Lite model?
Detailed Process
Read moreHow do I run a TensorFlow model on Raspberry Pi?
These are the steps needed to set up TensorFlow Lite:
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