text: from transformers import PretrainedConfig, XLMRobertaConfig
  
  
  class UFDAdaptorGlobalConfig(PretrainedConfig):
      """
      This is the configuration class to store the configuration of a :class:`~UFDAdaptorGlobalModel`.
      It is used to instantiate a UFD Adaptor Global model according to the specified
      arguments, defining the model architecture.
  
      Args:
          PretrainedConfig (:obj:`PretrainedConfig`): transformer :obj:`PreTrainedConfig` base class
      """
  
      model_type = "adaptor_global"
  
      def __init__(
          self, in_dim=1024, dim_hidden=1024, out_dim=1024, initrange=0.1, **kwargs
      ):
          super().__init__(**kwargs)
          self.in_dim = in_dim
          self.dim_hidden = dim_hidden
          self.out_dim = out_dim
          self.initrange = initrange
  
  
  class UFDAdaptorDomainConfig(PretrainedConfig):
      """
      This is the configuration class to store the configuration of a :class:`~UFDAdaptorDomainModel`.
      It is used to instantiate a UFD Adaptor Domain model according to the specified
      arguments, defining the model architecture.
  
      Args:
          PretrainedConfig (:obj:`PretrainedConfig`): transformer :obj:`PreTrainedConfig` base class
      """
  
      model_type = "adaptor_domain"
  
      def __init__(
          self, in_dim=1024, dim_hidden=1024, out_dim=1024, initrange=0.1, **kwargs
      ):
          super().__init__(**kwargs)
          self.in_dim = in_dim
          self.dim_hidden = dim_hidden
          self.out_dim = out_dim
          self.initrange = initrange
  
  
  class UFDCombineFeaturesMapConfig(PretrainedConfig):
      """
      This is the configuration class to store the configuration of a :class:`~UFDCombineFeaturesMapModel`.
      It is used to instantiate a UFD Combine Features Map model according to the specified
      arguments, defining the model architecture.
  
      Args:
          PretrainedConfig (:obj:`PretrainedConfig`): transformer :obj:`PreTrainedConfig` base class
      """
  
      model_type = "combine_features_map"
  
      def __init__(self, embed_dim=1024, initrange=0.1, **kwargs):
          super().__init__(**kwargs)
          self.embed_dim = embed_dim
          self.initrange = initrange
  
  
  class UFDClassifierConfig(PretrainedConfig):
      """
      This is the configuration class to store the configuration of a :class:`~UFDClassifierModel`.
      It is used to instantiate a UFD Classifier model according to the specified
      arguments, defining the model architecture.
  
      Args:
          PretrainedConfig (:obj:`PretrainedConfig`): transformer :obj:`PreTrainedConfig` base class
      """
  
      model_type = "classifier"
  
      def __init__(self, embed_dim=1024, num_class=2, initrange=0.1, **kwargs):
          super().__init__(**kwargs)
          self.embed_dim = embed_dim
          self.num_class = num_class
          self.initrange = initrange
  
  
  class UFDEmbeddingConfig(XLMRobertaConfig):
      """
      This is the configuration class to store the configuration of a :class:`~UFDEmbeddingModel`.
      It is used to instantiate a UFD Embedding model according to the specified
      arguments, defining the model architecture.
  
      Args:
          PretrainedConfig (:obj:`PretrainedConfig`): transformer :obj:`PreTrainedConfig` base class
      """
  
      def __init__(self, **kwargs):
          super().__init__(**kwargs)
  