This tutorial explains how to convert TensorFlow Lite models to OpenVINO IR. The notebook shows how to convert the EfficientNet Lite B0 model and then classify an image with OpenVINO Runtime.
The notebook uses model conversion API to convert model to OpenVINO Intermediate Representation format.
This is a self-contained example that relies solely on its own code.
We recommend running the notebook in a virtual environment. You only need a Jupyter server to start.
For details, please refer to Installation Guide.