# Use an existing TensorFlow Lite model

Source: [https://docs.qualcomm.com/doc/80-70014-54/topic/use-an-existing-tensorflow-lite-model.html](https://docs.qualcomm.com/doc/80-70014-54/topic/use-an-existing-tensorflow-lite-model.html)

You can deploy an existing TensorFlow Lite model available in the open-source
        community using TensorFlow Lite Runtime.

Qualcomm® AI Hub publishes TensorFlow Lite models optimized to run on the RB3 Gen 2
            device. For TensorFlow Lite models from Qualcomm, see [Qualcomm AI
                Hub](https://aihub.qualcomm.com/).

To download a model optimized for RB3 Gen 2, do the following:

1. Go to [AI Hub Model Zoo](https://aihub.qualcomm.com/iot/models).
2. To filter models available for QCS6490, in the left pane, click Qualcomm
                    QCS6490*.*
3. Select a model from the filtered list of models.
4. On the models page, select Qualcomm QCS6490 from the
                drop-down list, and then select the TorchScript
                &gt;
                TFLite path.
5. Click Download model.

Note: The downloaded model is pre-optimized and ready for
            deployment.

Figure : Optimized TensorFlow Lite model on Qualcomm AI Hub
            
            ![](data:image/png;base64,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)

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

Last Published: Jul 12, 2024

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Convert a TensorFlow or Keras model to TensorFlow Lite format](https://docs.qualcomm.com/bundle/publicresource/80-70014-54/topics/convert-a-tensorflow-or-keras-model-to-tensorflow-lite-format.md)