PyTorch
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Update README.md

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@@ -28,31 +28,6 @@ pip install vocos[train]
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  ## Usage
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- ### Reconstruct audio from mel-spectrogram
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-
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- ```python
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- import torch
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-
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- from vocos import Vocos
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-
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- vocos = Vocos.from_pretrained("charactr/vocos-mel-24khz")
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-
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- mel = torch.randn(1, 100, 256) # B, C, T
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- audio = vocos.decode(mel)
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- ```
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-
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- Copy-synthesis from a file:
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-
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- ```python
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- import torchaudio
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-
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- y, sr = torchaudio.load(YOUR_AUDIO_FILE)
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- if y.size(0) > 1: # mix to mono
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- y = y.mean(dim=0, keepdim=True)
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- y = torchaudio.functional.resample(y, orig_freq=sr, new_freq=24000)
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- y_hat = vocos(y)
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- ```
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-
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  ### Reconstruct audio from EnCodec tokens
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  Additionally, you need to provide a `bandwidth_id` which corresponds to the embedding for bandwidth from the
 
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  ## Usage
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  ### Reconstruct audio from EnCodec tokens
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  Additionally, you need to provide a `bandwidth_id` which corresponds to the embedding for bandwidth from the