code: def from_full_state(cls, state, finetune=False):
      vocab = {"char": CharVocab.load_state_dict(state["vocab"])}
      model = cls(
          state["args"], vocab, state["pad"], state["is_forward_lm"]
      )
      model.load_state_dict(state["state_dict"])
      model.eval()
      model.finetune = finetune  # set finetune status
      return model
  
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 11 for calling the CharacterLanguageModel obj's underlying member method code with example usage: obj.from_full_state(cls, state, finetune) and returns: model