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Update training_a_model.md (#1620) 

edited `...servers our needs.` to `...serves your needs.`
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@ -2,7 +2,7 @@
1. Decide the model you want to use.
Each model has a different set of pros and cons that define the run-time efficiency and the voice quality. It is up to you to decide what model servers your needs. Other than referring to the papers, one easy way is to test the 🐸TTS
Each model has a different set of pros and cons that define the run-time efficiency and the voice quality. It is up to you to decide what model serves your needs. Other than referring to the papers, one easy way is to test the 🐸TTS
community models and see how fast and good each of the models. Or you can start a discussion on our communication channels.
2. Understand the configuration, its fields and values.
@ -143,4 +143,4 @@ d-vectors. For using d-vectors, you first need to compute the d-vectors using th
The same Glow-TTS model above can be trained on a multi-speaker VCTK dataset with the script below.
```{literalinclude} ../../recipes/vctk/glow_tts/train_glow_tts.py
```
```