code: def __init__(
      self, opt: Opt, dictionary: DictionaryAgent, retriever_shared=None
  ):
      super().__init__(
          opt, dictionary, retriever_shared=retriever_shared
      )
      self.embedding_size = self.t5.model_dim
  
imports: from abc import abstractmethod
  from copy import deepcopy
  import torch
  import random
  from typing import Tuple, Union, Optional, List, Dict, Any
  from parlai.core.dict import DictionaryAgent
  from parlai.core.opt import Opt
  from parlai.core.message import Message
  from parlai.agents.transformer.transformer import TransformerGeneratorModel
  from parlai.agents.rag.args import RetrieverType
  from parlai.agents.rag.modules import RagModel, Document, T5RagModel
  from parlai.agents.rag.rag import RagAgent
  from parlai.agents.rag.model_types import RagToken, get_forced_decoder_inputs, fix_incremental_state
  from parlai.utils.typing import TShared
  import parlai.utils.logging
  from parlai.tasks.wizard_of_internet import constants
label_desc: Use image node_id 1 to create a new T5FidModel object from inherited base classes: FidModel, T5RagModel with example: obj = T5FidModel(opt, dictionary, retriever_shared)