code: def _target_encoder(self):
      if self.multi_label:
          return SequenceMultiLabelingEncoder(
              pad_token=self.config.pad_token
          )
      return SequenceLabelingEncoder(
          pad_token=self.config.pad_token,
          bio_tagging=self.config.bio_tagging,
      )
  
imports: import copy
  import os
  from collections import Counter, defaultdict
  import math
  from typing import Dict, List, Tuple, Union
  import tensorflow
  import numpy
  from finetune.base import BaseModel
  from finetune.encoding.target_encoders import SequenceLabelingEncoder, SequenceMultiLabelingEncoder
  from finetune.nn.target_blocks import sequence_labeler
  from finetune.nn.crf import sequence_decode
  from finetune.encoding.sequence_encoder import finetune_to_indico_sequence
  from finetune.encoding.input_encoder import get_spacy
  from finetune.input_pipeline import BasePipeline
  from finetune.util.metrics import sequences_overlap
  from finetune.encoding.input_encoder import tokenize_context
label_desc: Use image node_id 7 for calling the SequencePipeline obj's underlying member method code with example usage: obj._target_encoder() and returns: SequenceLabelingEncoder, SequenceMultiLabelingEncoder