docstr: Adds a causal language modeling head on top of the model.
  
  Args:
      head_name (str): The name of the head.
      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",".","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, overwrite_ok=False):
      """
      Adds a causal language modeling head on top of the model.
  
      Args:
          head_name (str): The name of the head.
          overwrite_ok (bool, optional): Force overwrite if a head with the same name exists. Defaults to False.
      """
      head = CausalLMHead(self, head_name)
      self.add_prediction_head(head, overwrite_ok=overwrite_ok)
  
file_path: adapters/src/adapters/models/llama/adapter_model.py
imports: import logging
  import torch
  from transformers.models.llama.modeling_llama import LLAMA_START_DOCSTRING, LlamaModel, LlamaPreTrainedModel
  from transformers.utils import add_start_docstrings
  from ...composition import adjust_tensors_for_parallel
  from ...heads import CausalLMHead, ClassificationHead, ModelWithFlexibleHeadsAdaptersMixin, MultiLabelClassificationHead, TaggingHead
  from ...model_mixin import EmbeddingAdaptersWrapperMixin
  from ...wrappers import init
label_desc: Use image node_id 3 for calling the LlamaAdapterModel obj's underlying member method code with example usage: obj.add_causal_lm_head(head_name, overwrite_ok) without return types