Add class
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@ -85,7 +85,7 @@ def topk_sampling(logits, top_k=10, top_p=1.0, temperature=1.0):
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class VoiceCraft(nn.Module, PyTorchModelHubMixin):
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class VoiceCraft(nn.Module):
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def __init__(self, args):
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super().__init__()
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self.args = copy.copy(args)
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@ -1410,4 +1410,9 @@ class VoiceCraft(nn.Module, PyTorchModelHubMixin):
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res = res - int(self.args.n_special)
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flatten_gen = flatten_gen - int(self.args.n_special)
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return res, flatten_gen[0].unsqueeze(0)
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return res, flatten_gen[0].unsqueeze(0)
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class VoiceCraftHF(VoiceCraft, PyTorchModelHubMixin):
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def __init__(self, config: dict):
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super().__init__(config)
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