docstr: Returns a tensor which describes the hyper-plane input space. This does
  not include the bias. For bias/intercept, please use `self.bias`
code: def representation(self) -> Tensor:
      r"""
      Returns a tensor which describes the hyper-plane input space. This does
      not include the bias. For bias/intercept, please use `self.bias`
      """
      assert self.linear is not None
      return self.linear.weight.detach()
  
imports: from typing import Callable, cast, List, Optional
  import torch.nn
  from captum._utils.models.model import Model
  from torch import Tensor
  from torch.utils.data import DataLoader
label_desc: Use image node_id 5 for calling the LinearModel obj's underlying member method code with example usage: obj.representation() and returns: self