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mms-tts-eng

Inference Endpoints

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spycsh commited on Jul 31

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ea26c5f

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@@ -68,7 +68,7 @@ The resulting waveform can be saved as a `.wav` file:
 ```python
 import scipy
-scipy.io.wavfile.write("techno.wav", rate=model.config.sampling_rate, data=output.float().numpy())
 ```
 Or displayed in a Jupyter Notebook / Google Colab:

 ```python
 import scipy
+scipy.io.wavfile.write("techno.wav", rate=model.config.sampling_rate, data=output.float().numpy().T)
 ```
 Or displayed in a Jupyter Notebook / Google Colab: