Add class

models/voicecraft.py

@@ -85,7 +85,7 @@ def topk_sampling(logits, top_k=10, top_p=1.0, temperature=1.0):
 
 
 
-class VoiceCraft(nn.Module, PyTorchModelHubMixin):
+class VoiceCraft(nn.Module):
     def __init__(self, args):
         super().__init__()
         self.args = copy.copy(args)
@@ -1411,3 +1411,8 @@ class VoiceCraft(nn.Module, PyTorchModelHubMixin):
             flatten_gen = flatten_gen - int(self.args.n_special)
 
         return res, flatten_gen[0].unsqueeze(0)
+    
+
+class VoiceCraftHF(VoiceCraft, PyTorchModelHubMixin):
+    def __init__(self, config: dict):
+        super().__init__(config)