class_docstr: A simple regex-splitting tokenizer.
class_docstr_tok: ["A","simple","regex-splitting","tokenizer","."]
code: def from_config(cls, config: Config):
      return cls(
          config.split_regex, config.lowercase, config.use_byte_offsets
      )
  
imports: import copy
  import json
  import re
  from collections import OrderedDict
  from typing import List, NamedTuple, Optional, Union
  import torch
  from fairseq.data.encoders.gpt2_bpe import get_encoder
  from fairseq.data.encoders.gpt2_bpe_utils import Encoder
  from pytext.config import ConfigBase
  from pytext.config.component import Component, ComponentType, create_component
  from pytext.data.pickleable_gpt2bpe_encoder import PickleableGPT2BPEEncoder
  from pytext.torchscript.tokenizer import ScriptDoNothingTokenizer, ScriptWordTokenizer
  from pytext.utils.file_io import PathManager
  from pytext.utils.usage import log_class_usage
  from transformers.tokenization_bert import BasicTokenizer, WordpieceTokenizer
label_desc: Use image node_id 1 for calling the Tokenizer obj's underlying member method code with example usage: obj.from_config(cls, config) and returns: cls