code: def init_tokenizer():
      tokenizer = BertTokenizer.from_pretrained("bert-base-uncased")
      tokenizer.add_special_tokens({"bos_token": "[DEC]"})
      tokenizer.add_special_tokens(
          {"additional_special_tokens": ["[ENC]"]}
      )
      tokenizer.enc_token_id = tokenizer.additional_special_tokens_ids[
          0
      ]
      return tokenizer
  
imports: import warnings
  from models.vit import VisionTransformer, interpolate_pos_embed
  from models.med import BertConfig, BertModel, BertLMHeadModel
  from transformers import BertTokenizer
  import torch
  from torch import nn
  import torch.nn.functional
  import os
  from urllib.parse import urlparse
  from timm.models.hub import download_cached_file
label_desc: Use image node_id 3 for calling a global function with example usage: init_tokenizer() and returns: tokenizer