code: def get_params(self, skip_modules=True):
      model_state = self.state_dict()
      # skip all of the constituency parameters here -
      # we will add them by calling the model's get_params()
      skipped = [
          k
          for k in model_state.keys()
          if k.startswith("constituency_parser.")
      ]
      for k in skipped:
          del model_state[k]
  
      parser = self.constituency_parser.get_params(skip_modules)
  
      params = {
          "model": model_state,
          "constituency": parser,
          "config": self.config,
      }
      return params
  
file_path: stanza/stanza/models/constituency/tree_embedding.py
imports: import torch
  import torch.nn
  from stanza.models.constituency.trainer import Trainer
label_desc: Use image node_id 5 for calling the TreeEmbedding obj's underlying member method code with example usage: obj.get_params(skip_modules) and returns: params