code: def add_args(parser):
      super(BARTModel, BARTModel).add_args(parser)
      parser.add_argument(
          "--pooler-dropout",
          type=float,
          metavar="D",
          help="dropout probability in the masked_lm pooler layers",
      )
      parser.add_argument(
          "--pooler-activation-fn",
          choices=utils.get_available_activation_fns(),
          help="activation function to use for pooler layer",
      )
      parser.add_argument(
          "--spectral-norm-classification-head",
          action="store_true",
          help="Apply spectral normalization on the classification head",
      )
  
imports: import logging
  from typing import Optional
  import torch
  import torch.nn
  from fairseq import utils
  from fairseq.models import register_model, register_model_architecture
  from fairseq.models.transformer import TransformerModel
  from fairseq.modules.transformer_sentence_encoder import init_bert_params
  from .hub_interface import BARTHubInterface
label_desc: Use image node_id 3 for calling the BARTModel obj's underlying member method code with example usage: obj.add_args(parser) without return types