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 save(self, output_path):
      with open(os.path.join(output_path, "config.json"), "w") as fOut:
          json.dump(self.get_config_dict(), fOut, indent=2)
  
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 4 for calling the WordWeights obj's underlying member method code with example usage: obj.save(output_path) without return types