docstr: Define predictions outputting the logits for the start of the range.
  
  :param questions: The questions and context to predict on.
  :type questions: list[str]
  :return: The logits for the start of the range.
  :rtype: list[list[float]]
docstr_tok: ["Define","predictions","outputting","the","logits","for","the","start","of","the","range",".",":","param","questions",":","The","questions","and","context","to","predict","on",".",":","type","questions",":","list","[","str","]",":","return",":","The","logits","for","the","start","of","the","range",".",":","rtype",":","list","[","list","[","float","]","]"]
code: def predict_qa_start(self, questions):
      """Define predictions outputting the logits for the start of the range.
  
      :param questions: The questions and context to predict on.
      :type questions: list[str]
      :return: The logits for the start of the range.
      :rtype: list[list[float]]
      """
      return self.predict_qa(questions, True)
  
file_path: responsible-ai-toolbox/responsibleai_text/responsibleai_text/utils/question_answering.py
imports: import logging
  from responsibleai_text.common.constants import Tokens
label_desc: Use image node_id 3 for calling the QAPredictor obj's underlying member method code with example usage: obj.predict_qa_start(questions) and returns: self