code: def from_config(cls, config: Config, **kwargs):
      return super().from_config(
          config,
          start_logits_column=config.start_logits_column,
          end_logits_column=config.end_logits_column,
          has_answer_logits_column=config.has_answer_logits_column,
          pad_mask_column=config.pad_mask_column,
          segment_labels_column=config.segment_labels_column,
      )
  
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 SquadForRoBERTaTensorizerForKD obj's underlying member method code with example usage: obj.from_config(cls, config) and returns: super