code: def from_pretrained(
      cls, pretrain_dir_or_url, force_download=False, **kwargs
  ):
      if (
          not Path(pretrain_dir_or_url).exists()
          and str(pretrain_dir_or_url) in cls.resource_map
      ):
          url = cls.resource_map[str(pretrain_dir_or_url)]
          log.info("get pretrain dir from %s" % url)
          pretrain_dir = _fetch_from_remote(
              url, force_download=force_download
          )
      else:
          log.info(
              "pretrain dir %s not in %s, read from local"
              % (pretrain_dir_or_url, repr(cls.resource_map))
          )
          pretrain_dir = Path(pretrain_dir_or_url)
      if not pretrain_dir.exists():
          raise ValueError(
              "pretrain dir not found: %s, optional: %s"
              % (pretrain_dir, cls.resource_map.keys())
          )
      vocab_path = pretrain_dir / "vocab.txt"
      if not vocab_path.exists():
          raise ValueError(
              "no vocab file in pretrain dir: %s" % pretrain_dir
          )
      vocab_dict = {
          j.strip().split("\t")[0]: i
          for i, j in enumerate(
              vocab_path.open(encoding="utf8").readlines()
          )
      }
      t = cls(vocab_dict, **kwargs)
      return t
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from __future__ import unicode_literals
  import logging
  import os
  import re
  import sys
  import tempfile
  from functools import partial
  from pathlib import Path
  import six
  from tqdm import tqdm
  import numpy
  from disco_diffusion_ernievil_base.vit_b_16x.ernievil2.transformers.file_utils import _fetch_from_remote
  import io
label_desc: Use image node_id 1 for calling the ErnieTokenizer obj's underlying member method code with example usage: obj.from_pretrained(cls, pretrain_dir_or_url, force_download) and returns: t