patrickvonplaten
HF staff
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Update README.md

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  1. README.md +2 -2
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@@ -62,7 +62,7 @@ To transcribe audio files the model can be used as a standalone acoustic model a
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  transcription = tokenizer.batch_decode(predicted_ids)
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  ```
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- ## Evalution
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  This code snippet shows how to evaluate **facebook/wav2vec2-base-960h** on LibriSpeech's "clean" and "other" test data.
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@@ -103,4 +103,4 @@ print("WER:", wer(result["text"], result["transcription"]))
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  | "clean" | "other" |
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  |---|---|
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- | 4.1 | |
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  transcription = tokenizer.batch_decode(predicted_ids)
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  ```
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+ ## Evaluation
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  This code snippet shows how to evaluate **facebook/wav2vec2-base-960h** on LibriSpeech's "clean" and "other" test data.
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  | "clean" | "other" |
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  |---|---|
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+ | 4.1 | 10.0 |