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Update README.md

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@@ -100,10 +100,10 @@ def decode(batch):
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  out = ds.map(decode, remove_columns=ds.column_names)
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- wer_out = wer.compute(predictions=out["prediction"], references=out["target"])
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- print("wer", wer_out)
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- # -> should give
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  ```
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  # Contribution
@@ -114,4 +114,6 @@ The model was contributed by [cywang](https://huggingface.co/cywang) and [patric
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  The official license can be found [here](https://github.com/microsoft/UniSpeech/blob/main/LICENSE)
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  ![design](https://raw.githubusercontent.com/patrickvonplaten/scientific_images/master/unispeech_results.png)
 
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  out = ds.map(decode, remove_columns=ds.column_names)
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+ per = wer.compute(predictions=out["prediction"], references=out["target"])
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+ print("per", per)
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+ # -> should give per 0.06685252146070828
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  ```
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  # Contribution
 
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  The official license can be found [here](https://github.com/microsoft/UniSpeech/blob/main/LICENSE)
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+ See *UniSpeeech-L^{+}* - *it*:
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+
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  ![design](https://raw.githubusercontent.com/patrickvonplaten/scientific_images/master/unispeech_results.png)