docstr: Adds a multiple choice head on top of the model.
  
  Args:
      head_name (str): The name of the head.
      num_choices (int, optional): Number of choices. Defaults to 2.
      layers (int, optional): Number of layers. Defaults to 2.
      activation_function (str, optional): Activation function. Defaults to 'tanh'.
      overwrite_ok (bool, optional): Force overwrite if a head with the same name exists. Defaults to False.
docstr_tok: ["Adds","a","multiple","choice","head","on","top","of","the","model",".","Args",":","head_name","(","str",")",":","The","name","of","the","head",".","num_choices","(","int",",","optional",")",":","Number","of","choices",".","Defaults","to","2.","layers","(","int",",","optional",")",":","Number","of","layers",".","Defaults","to","2.","activation_function","(","str",",","optional",")",":","Activation","function",".","Defaults","to","'tanh","'",".","overwrite_ok","(","bool",",","optional",")",":","Force","overwrite","if","a","head","with","the","same","name","exists",".","Defaults","to","False","."]
code: def add_multiple_choice_head(
      self,
      head_name,
      num_choices=2,
      layers=2,
      activation_function="tanh",
      overwrite_ok=False,
      id2label=None,
      use_pooler=False,
  ):
      """
      Adds a multiple choice head on top of the model.
  
      Args:
          head_name (str): The name of the head.
          num_choices (int, optional): Number of choices. Defaults to 2.
          layers (int, optional): Number of layers. Defaults to 2.
          activation_function (str, optional): Activation function. Defaults to 'tanh'.
          overwrite_ok (bool, optional): Force overwrite if a head with the same name exists. Defaults to False.
      """
      head = MultipleChoiceHead(
          self,
          head_name,
          num_choices,
          layers,
          activation_function,
          id2label,
          use_pooler,
      )
      self.add_prediction_head(head, overwrite_ok)
  
file_path: adapters/src/adapters/models/albert/adapter_model.py
imports: from transformers.models.albert.modeling_albert import ALBERT_INPUTS_DOCSTRING, ALBERT_START_DOCSTRING, AlbertModel, AlbertPreTrainedModel
  from transformers.utils import add_start_docstrings, add_start_docstrings_to_model_forward
  from ...context import AdapterSetup
  from ...heads import BertStyleMaskedLMHead, ClassificationHead, ModelWithFlexibleHeadsAdaptersMixin, MultiLabelClassificationHead, MultipleChoiceHead, QuestionAnsweringHead, TaggingHead
  from ...model_mixin import EmbeddingAdaptersWrapperMixin
  from ...wrappers import init
label_desc: Use image node_id 4 for calling the AlbertAdapterModel obj's underlying member method code with example usage: obj.add_multiple_choice_head(head_name, num_choices, layers, activation_function, overwrite_ok, id2label, use_pooler) without return types