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Custom checkpoint possibility
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@@ -182,6 +182,12 @@ python matcha/train.py experiment=ljspeech_min_memory
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python matcha/train.py experiment=ljspeech trainer.devices=[0,1]
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```
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6. Synthesise from the custom trained model
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```bash
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matcha_tts --text "<INPUT TEXT>" --checkpoint_path <PATH TO CHECKPOINT>
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```
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## Acknowledgements
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Since this code uses: [Lightning-Hydra-Template](https://github.com/ashleve/lightning-hydra-template), you have all the powers that comes with it.
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