# TensorFlow Lite developer workflow

Source: [https://docs.qualcomm.com/doc/80-70014-54/topic/tensorflow-lite-developer-workflow.html](https://docs.qualcomm.com/doc/80-70014-54/topic/tensorflow-lite-developer-workflow.html)

Executing a TensorFlow Lite model on Qualcomm-specific hardware involves the following
            tasks:

- **[Convert TensorFlow Lite models](https://docs.qualcomm.com/doc/80-70014-54/topic/convert-tensorflow-lite-models.html)**  

You can convert TensorFlow models to TensorFlow Lite models and optimize them for         on-device inference purposes.
- **[Run inference](https://docs.qualcomm.com/doc/80-70014-54/topic/run-inference.html)**  

You can use the TensorFlow Lite C++ APIs to create an application, load a TensorFlow         Lite model, and execute the model on hardware using delegates.

Last Published: Jul 12, 2024

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