class_docstr: Model wrapper for coreference resolution.
class_docstr_tok: ["Model","wrapper","for","coreference","resolution","."]
code: def get_params(self, named=False):
      plm_based_param, task_param = [], []
      for name, param in self.named_parameters():
          if "t5" in name:
              to_add = (name, param) if named else param
              plm_based_param.append(to_add)
          else:
              to_add = (name, param) if named else param
              task_param.append(to_add)
      return plm_based_param, task_param
  
file_path: DeepKE/src/deepke/triple_extraction/ASP/models/model_coref.py
imports: import sys
  import os
  import torch
  import torch.nn
  import logging
  from transformers import T5Tokenizer
  from .t5_coref import T5Coref
label_desc: Use image node_id 4 for calling the CorefModel obj's underlying member method code with example usage: obj.get_params(named) and returns: plm_based_param,  task_param