code: def transformer_params(self) -> Iterable[LayerContainer]:
      return self._transformer_params
  
imports: import json
  from abc import ABC, ABCMeta, abstractmethod
  from typing import Any, Iterable, List, Optional, Union
  import torch
  from ..config_v2 import RaggedInferenceEngineConfig
  from ..checkpoint import CheckpointEngineBase
  from ..logging import inference_logger
  from .layer_container_base import LayerContainer
  from .inference_model_base import DSInferenceModelBase
  from .flat_model_helpers import flatten_inference_model, make_param_filename, make_metadata_filename, ModelMetadata, restore_inference_model
label_desc: Use image node_id 2 for calling the ContainerMap obj's underlying member method code with example usage: obj.transformer_params() and returns: self