code: def get_encoder(self):
      return self.model.get_encoder()
  
imports: import torch
  from transformers.models.mbart.modeling_mbart import MBART_INPUTS_DOCSTRING, MBART_START_DOCSTRING, MBartConfig, MBartModel, MBartPreTrainedModel, shift_tokens_right
  from transformers.utils import add_start_docstrings, add_start_docstrings_to_model_forward
  from ...composition import adjust_tensors_for_parallel
  from ...heads import ClassificationHead, ModelWithFlexibleHeadsAdaptersMixin, MultiLabelClassificationHead, QuestionAnsweringHead, Seq2SeqLMHead
  from ...model_mixin import EmbeddingAdaptersWrapperMixin
  from ...wrappers import init
label_desc: Use image node_id 2 for calling the MBartAdapterModel obj's underlying member method code with example usage: obj.get_encoder() and returns: self