class_docstr: Abstract class for all nonautoregressive-based models
class_docstr_tok: ["Abstract","class","for","all","nonautoregressive-based","models"]
code: def add_args(parser):
      TransformerModel.add_args(parser)
      parser.add_argument(
          "--apply-bert-init",
          action="store_true",
          help="use custom param initialization for BERT",
      )
  
imports: import math
  import torch
  from fairseq.models.transformer import TransformerDecoder, TransformerEncoder, TransformerModel
  from fairseq.modules.transformer_sentence_encoder import init_bert_params
label_desc: Use image node_id 5 for calling the FairseqNATModel obj's underlying member method code with example usage: obj.add_args(parser) without return types