code: def __init__(self, classes, distribute_zero_label=True, **kwargs):
      super().__init__()
      self.enc = AudioMiniEncoder(**kwargs)
      self.head = nn.Linear(self.enc.dim, classes)
      self.num_classes = classes
      self.distribute_zero_label = distribute_zero_label
  
file_path: TTS/TTS/tts/layers/tortoise/classifier.py
imports: import torch
  import torch.nn
  from TTS.tts.layers.tortoise.arch_utils import AttentionBlock, Downsample, Upsample, normalization, zero_module
label_desc: Use image node_id 1 to create a new AudioMiniEncoderWithClassifierHead object from inherited base classes: nn with example: obj = AudioMiniEncoderWithClassifierHead(classes, distribute_zero_label)