code: def get_encoder(self):
      return self.transformer.encoder
  
imports: import logging
  import torch
  from transformers.models.t5.modeling_t5 import T5_INPUTS_DOCSTRING, T5_START_DOCSTRING, T5Model, T5PreTrainedModel
  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 T5AdapterModel obj's underlying member method code with example usage: obj.get_encoder() and returns: self