code: def load(cls, filename, finetune=False):
      state = torch.load(filename, lambda storage, loc: storage)
      # allow saving just the Model object,
      # and allow for old charlms to still work
      if "state_dict" in state:
          return cls.from_full_state(state, finetune)
      return cls.from_full_state(state["model"], finetune)
  
imports: from collections import Counter
  from operator import itemgetter
  import os
  import torch
  import torch.nn
  from torch.nn.utils.rnn import pack_sequence, pad_packed_sequence, pack_padded_sequence, PackedSequence
  from stanza.models.common.data import get_long_tensor
  from stanza.models.common.packed_lstm import PackedLSTM
  from stanza.models.common.utils import open_read_text, tensor_unsort, unsort
  from stanza.models.common.dropout import SequenceUnitDropout
  from stanza.models.common.vocab import UNK_ID, CharVocab
label_desc: Use image node_id 12 for calling the CharacterLanguageModel obj's underlying member method code with example usage: obj.load(cls, filename, finetune) and returns: cls, cls