code: def add_qa_head(
      self,
      head_name,
      num_labels=2,
      layers=1,
      activation_function="tanh",
      overwrite_ok=False,
      id2label=None,
  ):
      head = QuestionAnsweringHead(
          self,
          head_name,
          num_labels,
          layers,
          activation_function,
          id2label,
      )
      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 6 for calling the AlbertAdapterModel obj's underlying member method code with example usage: obj.add_qa_head(head_name, num_labels, layers, activation_function, overwrite_ok, id2label) without return types