code: def convert_tokens_to_string(tokens):
      sentence = ""
      for token in tokens:
          if token.startswith("##"):
              sentence += token.replace("##", "")
          else:
              sentence += " {}".format(token)
  
      return sentence.strip()
  
imports: import os
  import logging
  import torch
  import numpy
  from .data_ner import BertNERDataBunch
  from torch import nn
  from seqeval.metrics import f1_score, precision_score, recall_score
  from typing import Dict, List, Optional, Tuple
  from .learner_util import Learner
  from transformers import AutoConfig, AutoModelForTokenClassification, Trainer, TrainingArguments, EvalPrediction, HfArgumentParser
label_desc: Use image node_id 3 for calling a global function with example usage: convert_tokens_to_string(tokens) and returns: sentence