class_docstr: A baseclass for modules to perform various classification tasks.
class_docstr_tok: ["A","baseclass","for","modules","to","perform","various","classification","tasks","."]
docstr: Saves the module to the specified path.
  Args:
      save_path: Path to where to save the module.
docstr_tok: ["Saves","the","module","to","the","specified","path",".","Args",":","save_path",":","Path","to","where","to","save","the","module","."]
code: def save_to(self, save_path: str):
      """
      Saves the module to the specified path.
      Args:
          save_path: Path to where to save the module.
      """
      pass
  
file_path: NeMo/nemo/collections/nlp/modules/common/classifier.py
imports: from typing import Dict, Optional
  import torch
  from torch import nn
  from nemo.collections.common.parts import transformer_weights_init
  from nemo.core.classes import Exportable, NeuralModule
  from nemo.core.neural_types import ChannelType, NeuralType
label_desc: Use image node_id 5 for calling the Classifier obj's underlying member method code with example usage: obj.save_to(save_path) without return types