code: def __init__(
      self,
      hidden_size=768,
      num_hidden_layers=12,
      num_attention_heads=12,
      intermediate_size=3072,
      hidden_act="gelu",
      hidden_dropout_prob=0.0,
      attention_probs_dropout_prob=0.0,
      initializer_range=0.02,
      layer_norm_eps=1e-12,
      patch_size=16,
      qkv_bias=True,
      frequency_stride=10,
      time_stride=10,
      max_length=1024,
      num_mel_bins=128,
      **kwargs,
  ):
      super().__init__(**kwargs)
  
      self.hidden_size = hidden_size
      self.num_hidden_layers = num_hidden_layers
      self.num_attention_heads = num_attention_heads
      self.intermediate_size = intermediate_size
      self.hidden_act = hidden_act
      self.hidden_dropout_prob = hidden_dropout_prob
      self.attention_probs_dropout_prob = attention_probs_dropout_prob
      self.initializer_range = initializer_range
      self.layer_norm_eps = layer_norm_eps
      self.patch_size = patch_size
      self.qkv_bias = qkv_bias
      self.frequency_stride = frequency_stride
      self.time_stride = time_stride
      self.max_length = max_length
      self.num_mel_bins = num_mel_bins
  
imports: from ...configuration_utils import PretrainedConfig
  from ...utils import logging
label_desc: Use image node_id 1 to create a new ASTConfig object from inherited base classes: PretrainedConfig with example: obj = ASTConfig(hidden_size, num_hidden_layers, num_attention_heads, intermediate_size, hidden_act, hidden_dropout_prob, attention_probs_dropout_prob, initializer_range, layer_norm_eps, patch_size, qkv_bias, frequency_stride, time_stride, max_length, num_mel_bins)