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Update README.md

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@@ -17,7 +17,7 @@ model-index:
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  dataset:
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  name: Common Voice eu
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  type: common_voice
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- args: es
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  metrics:
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  - name: Test WER
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  type: wer
@@ -104,7 +104,7 @@ model = Wav2Vec2ForCTC.from_pretrained("stefan-it/wav2vec2-large-xlsr-53-basque"
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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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  dataset:
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  name: Common Voice eu
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  type: common_voice
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+ args: eu
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  metrics:
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  - name: Test WER
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  type: wer
 
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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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