class_docstr: Produces RoBERTa inputs and answer spans for Squad.
class_docstr_tok: ["Produces","RoBERTa","inputs","and","answer","spans","for","Squad","."]
code: def from_config(cls, config: Config, **kwargs):
      # reuse parent class's from_config, which will pass extra args
      # in **kwargs to cls.__init__
      return super().from_config(
          config,
          answers_column=config.answers_column,
          answer_starts_column=config.answer_starts_column,
          **kwargs,
      )
  
imports: import itertools
  from typing import List
  import torch
  from pytext.data.bert_tensorizer import BERTTensorizer
  from pytext.data.roberta_tensorizer import RoBERTaTensorizer
  from pytext.data.tensorizers import lookup_tokens
  from pytext.data.utils import pad_and_tensorize
  from pytext.torchscript.tensorizer import ScriptRoBERTaTensorizerWithIndices
  from pytext.torchscript.vocab import ScriptVocabulary
label_desc: Use image node_id 1 for calling the SquadForRoBERTaTensorizer obj's underlying member method code with example usage: obj.from_config(cls, config) and returns: super