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Update README.md

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@@ -94,8 +94,8 @@ There are also potential dual-use concerns that come with releasing Moonshine. W
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  if sr != 16000:
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  audio = torchaudio.functional.resample(audio, sr, 16000)
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- model = AutoModelForSpeechSeq2Seq.from_pretrained('njeffrie/moonshine-tiny', trust_remote_code=True)
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- tokenizer = PreTrainedTokenizerFast.from_pretrained('njeffrie/moonshine-tiny')
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  tokens = model(audio)
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  print(tokenizer.decode(tokens[0], skip_special_tokens=True))
 
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  if sr != 16000:
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  audio = torchaudio.functional.resample(audio, sr, 16000)
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+ model = AutoModelForSpeechSeq2Seq.from_pretrained('usefulsensors/moonshine-tiny', trust_remote_code=True)
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+ tokenizer = PreTrainedTokenizerFast.from_pretrained('usefulsensors/moonshine-tiny')
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  tokens = model(audio)
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  print(tokenizer.decode(tokens[0], skip_special_tokens=True))