code: def get_tokenizer_list() -> List[str]:
      """
      Returns all all supported tokenizer names
      """
      s = set(get_pretrained_lm_models_list())
      s.update(
          set(
              get_huggingface_pretrained_lm_models_list(
                  include_external=True
              )
          )
      )
      return ["sentencepiece", "char", "word"] + list(s)
  
file_path: NeMo/nemo/collections/nlp/modules/common/tokenizer_utils.py
imports: import os.path
  from dataclasses import MISSING, dataclass
  from typing import Dict, List, Optional
  import nemo
  from nemo.collections.common.tokenizers.bytelevel_tokenizers import ByteLevelTokenizer
  from nemo.collections.common.tokenizers.char_tokenizer import CharTokenizer
  from nemo.collections.common.tokenizers.huggingface.auto_tokenizer import AutoTokenizer
  from nemo.collections.common.tokenizers.regex_tokenizer import RegExTokenizer
  from nemo.collections.common.tokenizers.tabular_tokenizer import TabularTokenizer
  from nemo.collections.common.tokenizers.word_tokenizer import WordTokenizer
  from nemo.collections.common.tokenizers.youtokentome_tokenizer import YouTokenToMeTokenizer
  from nemo.collections.nlp.modules.common.huggingface.huggingface_utils import get_huggingface_pretrained_lm_models_list
  from nemo.collections.nlp.modules.common.lm_utils import get_pretrained_lm_models_list
  from nemo.collections.nlp.parts.nlp_overrides import HAVE_MEGATRON_CORE
  from nemo.utils import logging
label_desc: Use image node_id 1 for calling a global function with example usage: get_tokenizer_list() and returns: unknown