code: def load_etl(self, model_file_path, cache_key):
      if cache_key in self.etl_cache:
          etl = self.etl_cache.get(cache_key)
      else:
          etl = SequenceLabeler.load(model_file_path, key="etl")
          self.etl_cache[cache_key] = etl
      return etl
  
imports: from collections import OrderedDict
  import gc
  import logging
  import functools
  import psutil
  from finetune.target_models.sequence_labeling import SequenceLabeler
  import tensorflow
  from finetune.base import BaseModel
  from finetune.custom_ops import BytesInUse, BytesLimit, MaxBytesInUse
  from finetune.errors import FinetuneSchedulerError
label_desc: Use image node_id 14 for calling the Scheduler obj's underlying member method code with example usage: obj.load_etl(model_file_path, cache_key) and returns: etl