docstr: Adds a causal language modeling head on top of the model.
  
  Args:
      head_name (str): The name of the head.
      activation_function (str, optional): Activation function. Defaults to 'gelu'.
      overwrite_ok (bool, optional): Force overwrite if a head with the same name exists. Defaults to False.
docstr_tok: ["Adds","a","causal","language","modeling","head","on","top","of","the","model",".","Args",":","head_name","(","str",")",":","The","name","of","the","head",".","activation_function","(","str",",","optional",")",":","Activation","function",".","Defaults","to","'gelu","'",".","overwrite_ok","(","bool",",","optional",")",":","Force","overwrite","if","a","head","with","the","same","name","exists",".","Defaults","to","False","."]
code: def add_causal_lm_head(
      self, head_name, activation_function="gelu", overwrite_ok=False
  ):
      """
      Adds a causal language modeling head on top of the model.
  
      Args:
          head_name (str): The name of the head.
          activation_function (str, optional): Activation function. Defaults to 'gelu'.
          overwrite_ok (bool, optional): Force overwrite if a head with the same name exists. Defaults to False.
      """
      head = CausalLMHead(
          self,
          head_name,
          layers=2,
          activation_function=activation_function,
          layer_norm=True,
          bias=True,
      )
      self.add_prediction_head(head, overwrite_ok=overwrite_ok)
  
file_path: adapters/src/adapters/models/electra/adapter_model.py
imports: from transformers.models.electra.modeling_electra import ELECTRA_INPUTS_DOCSTRING, ELECTRA_START_DOCSTRING, ElectraModel, ElectraPreTrainedModel
  from transformers.utils import add_start_docstrings, add_start_docstrings_to_model_forward
  from ...context import AdapterSetup
  from ...heads import BertStyleMaskedLMHead, BiaffineParsingHead, CausalLMHead, ClassificationHead, ModelWithFlexibleHeadsAdaptersMixin, MultiLabelClassificationHead, MultipleChoiceHead, QuestionAnsweringHead, TaggingHead
  from ...model_mixin import EmbeddingAdaptersWrapperMixin
  from ...wrappers import init
label_desc: Use image node_id 10 for calling the ElectraAdapterModel obj's underlying member method code with example usage: obj.add_causal_lm_head(head_name, activation_function, overwrite_ok) without return types