class_docstr: See "Jointly Learning to Align and Translate with Transformer
  Models" (Garg et al., EMNLP 2019).
class_docstr_tok: ["See","``","Jointly","Learning","to","Align","and","Translate","with","Transformer","Models","''","(","Garg","et","al.",",","EMNLP","2019",")","."]
code: def build_model(cls, args, task):
      # set any default arguments
      transformer_align(args)
  
      transformer_model = TransformerModel.build_model(args, task)
      return TransformerAlignModel(
          transformer_model.encoder, transformer_model.decoder, args
      )
  
file_path: fairseq/fairseq/models/transformer_align.py
imports: from fairseq.models import register_model, register_model_architecture
  from fairseq.models.transformer import TransformerModel, base_architecture, transformer_wmt_en_de_big
label_desc: Use image node_id 3 for calling the TransformerAlignModel obj's underlying member method code with example usage: obj.build_model(cls, args, task) and returns: TransformerAlignModel