code: def __init__(
      self,
      model,
      params,
      optimizer,
      criterion,
      scheduler,
      epoch=1,
      global_step=0,
  ):
      self.model = model
      self.params = params
      self.optimizer = optimizer
      self.criterion = criterion
      self.scheduler = scheduler
      self.epoch = epoch
      self.global_step = global_step
  
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 1 to create a new CharacterLanguageModelTrainer object  with example: obj = CharacterLanguageModelTrainer(model, params, optimizer, criterion, scheduler, epoch, global_step)