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Update README.md

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@@ -33,7 +33,7 @@ from transformers import AutoModelForCTC, AutoProcessor
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  import torchaudio.functional as F
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- model_id = "patrickvonplaten/wav2vec2-large-xlsr-53-spanish-with-lm"
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  sample = next(iter(load_dataset("common_voice", "es", split="test", streaming=True)))
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  resampled_audio = F.resample(torch.tensor(sample["audio"]["array"]), 48_000, 16_000).numpy()
@@ -61,7 +61,7 @@ The results can be reproduced by running *from this model repository*:
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  | Model | WER | CER |
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  | ------------- | ------------- | ------------- |
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- | patrickvonplaten/wav2vec2-large-xlsr-53-spanish-with-lm | **8.44%** | **2.93%** |
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  | jonatasgrosman/wav2vec2-large-xlsr-53-spanish | **10.20%** | **3.24%** |
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  ```
 
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  import torchaudio.functional as F
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+ model_id = "patrickvonplaten/wav2vec2-xlsr-53-es-kenlm"
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  sample = next(iter(load_dataset("common_voice", "es", split="test", streaming=True)))
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  resampled_audio = F.resample(torch.tensor(sample["audio"]["array"]), 48_000, 16_000).numpy()
 
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  | Model | WER | CER |
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  | ------------- | ------------- | ------------- |
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+ | patrickvonplaten/wav2vec2-xlsr-53-es-kenlm | **8.44%** | **2.93%** |
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  | jonatasgrosman/wav2vec2-large-xlsr-53-spanish | **10.20%** | **3.24%** |
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  ```