class_docstr: An abstract class that exposes an abstract interpret method
  that has to be implemented by a specific algorithm for
  concept-based model interpretability.
docstr: Args:
      model (torch.nn.Module): An instance of pytorch model.
docstr_tok: ["Args",":","model","(","torch.nn.Module",")",":","An","instance","of","pytorch","model","."]
code: def __init__(self, model: Module) -> None:
      r"""
      Args:
          model (torch.nn.Module): An instance of pytorch model.
      """
      self.model = model
  
file_path: captum/captum/concept/_core/concept.py
imports: from typing import Callable, Union
  import torch
  from torch.nn import Module
label_desc: Use image node_id 1 to create a new ConceptInterpreter object  with example: obj = ConceptInterpreter(model)