code: def _get_sane_token_args():
      return dict(
          pad_token="<pad>",
          bos_token="<s>",
          eos_token="</s>",
          unk_token="<unk>",
          cls_token="<cls>",
          sep_token="<sep>",
          mask_token="<mask>",
      )
  
file_path: bert-ultrafast/training/cramming/data/tokenizer_preparation.py
imports: from transformers import AutoTokenizer, PreTrainedTokenizerFast
  from tokenizers import Tokenizer, models, normalizers, pre_tokenizers, decoders, trainers, Regex, processors
label_desc: Use image node_id 4 for calling a global function with example usage: _get_sane_token_args() and returns: dict