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Update README.md

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Patrick von Platen 2021-02-08 17:10:43 +00:00 committed by huggingface-web
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@ -62,7 +62,7 @@ To transcribe audio files the model can be used as a standalone acoustic model a
transcription = tokenizer.batch_decode(predicted_ids) transcription = tokenizer.batch_decode(predicted_ids)
``` ```
## Evalution ## Evaluation
This code snippet shows how to evaluate **facebook/wav2vec2-base-960h** on LibriSpeech's "clean" and "other" test data. This code snippet shows how to evaluate **facebook/wav2vec2-base-960h** on LibriSpeech's "clean" and "other" test data.
@ -103,4 +103,4 @@ print("WER:", wer(result["text"], result["transcription"]))
| "clean" | "other" | | "clean" | "other" |
|---|---| |---|---|
| 4.1 | | | 4.1 | 10.0 |