class_docstr: Actual model code for the Transresnet Agent.
code: def _load_text_encoder_state(self):
      try:
          state_file = self.opt.get("load_encoder_from")
          with PathManager.open(state_file, "b") as f:
              model = torch.load(f)
          states = model["model"]
          self.text_encoder.load_state_dict(states)
      except Exception as e:
          print(
              "WARNING: Cannot load transformer state; please make sure "
              "specified file is a dictionary with the states in `model`. "
              "Additionally, make sure that the appropriate options are "
              "specified. Error: {}".format(e)
          )
  
imports: from typing import Optional
  from parlai.core.params import ParlaiParser
  from parlai.core.opt import Opt
  import torch
  from torch import nn
  from torch import optim
  from parlai.agents.transformer.modules import TransformerEncoder
  from parlai.agents.transformer import transformer
  from parlai.utils.io import PathManager
label_desc: Use image node_id 20 for calling the TransresnetModel obj's underlying member method code with example usage: obj._load_text_encoder_state() without return types