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Update README.md
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README.md
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@@ -50,7 +50,7 @@ To transcribe audio files the model can be used as a standalone acoustic model a
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ds = load_dataset("patrickvonplaten/librispeech_asr_dummy", "clean", split="validation")
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# tokenize
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input_values = processor(ds[0]["audio"["array"], return_tensors="pt").input_values
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# retrieve logits
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with torch.no_grad():
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ds = load_dataset("patrickvonplaten/librispeech_asr_dummy", "clean", split="validation")
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# tokenize
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input_values = processor(ds[0]["audio"]["array"], return_tensors="pt").input_values
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# retrieve logits
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with torch.no_grad():
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