class_docstr: Token embeddings are weighted mean of their different hidden layer representations
class_docstr_tok: ["Token","embeddings","are","weighted","mean","of","their","different","hidden","layer","representations"]
code: def get_config_dict(self):
      return {key: self.__dict__[key] for key in self.config_keys}
  
file_path: sentence-transformers/sentence_transformers/models/WeightedLayerPooling.py
imports: import torch
  from torch import Tensor
  from torch import nn
  from typing import Dict
  import os
  import json
label_desc: Use image node_id 4 for calling the WeightedLayerPooling obj's underlying member method code with example usage: obj.get_config_dict() and returns: unknown