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Update README.md

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@@ -180,7 +180,7 @@ To perform speaker diarization and get a list of speaker-marked speech segments
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  ```python
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  predicted_segments = diar_model.diarize(audio=audio_input, batch_size=1)
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  ```
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- To also obtain tensors of speaker activity probabilities, use:
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  ```python
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  predicted_segments, predicted_probs = diar_model.diarize(audio=audio_input, batch_size=1, include_tensor_outputs=True)
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  ```
 
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  ```python
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  predicted_segments = diar_model.diarize(audio=audio_input, batch_size=1)
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  ```
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+ To obtain tensors of speaker activity probabilities, use:
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  ```python
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  predicted_segments, predicted_probs = diar_model.diarize(audio=audio_input, batch_size=1, include_tensor_outputs=True)
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  ```