class_docstr: Abstract base class for all downstream task models
  Every new type of model must implement these methods.
  
  Source: FlairNLP
class_docstr_tok: ["Abstract","base","class","for","all","downstream","task","models","Every","new","type","of","model","must","implement","these","methods",".","Source",":","FlairNLP"]
docstr: Initialize the model from a state dictionary. Implementing this enables the load() and load_checkpoint()
  functionality.
docstr_tok: ["Initialize","the","model","from","a","state","dictionary",".","Implementing","this","enables","the","load","(",")","and","load_checkpoint","(",")","functionality","."]
code: def _init_model_with_state_dict(state):
      """Initialize the model from a state dictionary. Implementing this enables the load() and load_checkpoint()
      functionality."""
      pass
  
file_path: underthesea/underthesea/models/model.py
imports: import warnings
  from abc import abstractmethod
  from pathlib import Path
  from typing import Union
  import torch.nn
  from underthesea import file_utils
  from underthesea.utils import device
label_desc: Use image node_id 4 for calling the Model obj's underlying member method code with example usage: obj._init_model_with_state_dict(state) without return types