code: def __init__(self, args, encoder, decoder):
      super().__init__(args, encoder, decoder)
  
imports: from typing import Any, List, Dict, Optional
  import torch
  import torch.nn
  from torch import Tensor
  from fairseq.utils import safe_hasattr
  from fairseq.models.transformer import TransformerModel, TransformerEncoder, TransformerDecoder
  from ..modules.attn_head_selector import AttnHeadSelector
  from ..modules.head_selection_transformer_layer import HeadSelectionTransformerEncoderLayer, HeadSelectionTransformerDecoderLayer
label_desc: Use image node_id 1 to create a new HeadSelectionTransformerModel object from inherited base classes: TransformerModel with example: obj = HeadSelectionTransformerModel(args, encoder, decoder)