class_docstr: A model wrapper queries a model with a list of text inputs.
  
  Classification-based models return a list of lists, where each
  sublist represents the model's scores for a given input.
  
  Text-to-text models return a list of strings, where each string is
  the output – like a translation or summarization – for a given
  input.
class_docstr_tok: ["A","model","wrapper","queries","a","model","with","a","list","of","text","inputs",".","Classification-based","models","return","a","list","of","lists",",","where","each","sublist","represents","the","model","'s","scores","for","a","given","input",".","Text-to-text","models","return","a","list","of","strings",",","where","each","string","is","the","output","\u2013","like","a","translation","or","summarization","\u2013","for","a","given","input","."]
code: def __call__(self, text_input_list, **kwargs):
      raise NotImplementedError()
  
imports: from abc import ABC, abstractmethod
label_desc: Use image node_id 1 for calling the ModelWrapper obj's underlying member method code with example usage: obj.__call__(text_input_list) without return types