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/develop-generalizationTraining-TrainerController
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      docs/Getting-Started-with-Balance-Ball.md

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docs/Getting-Started-with-Balance-Ball.md


Once the training process completes, and the training process saves the model
(denoted by the `Saved Model` message) you can add it to the Unity project and
use it with agents having an **Internal** brain type.
**Note** If you're using Anaconda, you shouldn't just close the Unity Window once the `Saved Model` message appears. Press Ctrl+C in the Anaconda prompt, and this will formally end the training session and export the .bytes file. Otherwise, the .bytes file will never be exported into the ml-agents folder.
**Note:** Do not just close the Unity Window once the `Saved Model` message appears. Either wait for the training process to close the window or press Ctrl+C at the command-line prompt. If you simply close the window manually, the .bytes file containing the trained model is not exported into the ml-agents folder.
### Setting up TensorFlowSharp Support

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