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Update README.md

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  ---
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  language: cs
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-
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  datasets:
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-
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  - common_voice
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  tags:
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-
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  - audio
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-
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  - automatic-speech-recognition
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  - speech
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  - xlsr-fine-tuning-week
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  license: apache-2.0
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-
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  model-index:
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-
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  - name: wav2vec2-large-xlsr-53-Czech by Mehdi Hosseini Moghadam
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  results:
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  - task:
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  name: Speech Recognition
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  type: automatic-speech-recognition
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  dataset:
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  name: Common Voice cs
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  type: common_voice
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  args: cs
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  metrics:
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  - name: Test WER
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  type: wer
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  value: 27.047806
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  ---
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  # wav2vec2-large-xlsr-53-Czech
@@ -130,7 +106,7 @@ model = Wav2Vec2ForCTC.from_pretrained("MehdiHosseiniMoghadam/wav2vec2-large-xls
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  model.to("cuda")
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- chars_to_ignore_regex = '[\,\?\.\!\-\;\:\"\“\%\‘\”\�]'
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  resampler = torchaudio.transforms.Resample(48_000, 16_000)
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  ---
 
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  language: cs
 
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  datasets:
 
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  - common_voice
 
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  tags:
 
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  - audio
 
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  - automatic-speech-recognition
 
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  - speech
 
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  - xlsr-fine-tuning-week
 
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  license: apache-2.0
 
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  model-index:
 
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  - name: wav2vec2-large-xlsr-53-Czech by Mehdi Hosseini Moghadam
 
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  results:
 
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  - task:
 
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  name: Speech Recognition
 
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  type: automatic-speech-recognition
 
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  dataset:
 
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  name: Common Voice cs
 
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  type: common_voice
 
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  args: cs
 
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  metrics:
 
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  - name: Test WER
 
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  type: wer
 
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  value: 27.047806
 
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  ---
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  # wav2vec2-large-xlsr-53-Czech
 
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  model.to("cuda")
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+ chars_to_ignore_regex = '[\\,\\?\\.\\!\\-\\;\\:\\"\\“\\%\\‘\\”\\�]'
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  resampler = torchaudio.transforms.Resample(48_000, 16_000)
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