class_docstr: This model can weight word embeddings, for example, with idf-values.
class_docstr_tok: ["This","model","can","weight","word","embeddings",",","for","example",",","with","idf-values","."]
code: def get_config_dict(self):
      return {key: self.__dict__[key] for key in self.config_keys}
  
file_path: sentence-transformers/sentence_transformers/models/WordWeights.py
imports: import torch
  from torch import Tensor
  from torch import nn
  from typing import List, Dict
  import os
  import json
  import logging
label_desc: Use image node_id 3 for calling the WordWeights obj's underlying member method code with example usage: obj.get_config_dict() and returns: unknown