class_docstr: a `Predictor` is a thin wrapper around an AllenNLP model that handles JSON -> JSON predictions
  that can be used for serving models through the web API or making predictions in bulk.
code: def predict_batch_instance(
      self, instances: List[Instance]
  ) -> List[JsonDict]:
      for instance in instances:
          self._dataset_reader.apply_token_indexers(instance)
      outputs = self._model.forward_on_instances(instances)
      return sanitize(outputs)
  
imports: from typing import List, Iterator, Dict, Tuple, Any, Type, Union, Optional
  import logging
  from os import PathLike
  import json
  import re
  from contextlib import contextmanager
  import numpy
  import torch
  from torch.utils.hooks import RemovableHandle
  from torch import Tensor
  from torch import backends
  from allennlp.common import Registrable, plugins
  from allennlp.common.util import JsonDict, sanitize
  from allennlp.data import DatasetReader, Instance
  from allennlp.data.batch import Batch
  from allennlp.models import Model
  from allennlp.models.archival import Archive, load_archive
  from allennlp.nn import util
label_desc: Use image node_id 15 for calling the Predictor obj's underlying member method code with example usage: obj.predict_batch_instance(instances) and returns: sanitize