code: def full_state(self):
      state = {
          "vocab": self.vocab["char"].state_dict(),
          "args": self.args,
          "state_dict": self.state_dict(),
          "pad": self.pad,
          "is_forward_lm": self.is_forward_lm,
      }
      return state
  
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 9 for calling the CharacterLanguageModel obj's underlying member method code with example usage: obj.full_state() and returns: state