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.
class_docstr_tok: ["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_json(self, inputs):
      instances = self._batch_json_to_instances(inputs)
      return self.predict_batch_instance(instances)
  
imports: from __future__ import absolute_import
  import json
  from allennlp.common import Registrable
  from allennlp.common.checks import ConfigurationError
  from allennlp.common.util import JsonDict, sanitize
  from allennlp.data import DatasetReader, Instance
  from allennlp.models import Model
  from allennlp.models.archival import load_archive
label_desc: Use image node_id 7 for calling the Predictor obj's underlying member method code with example usage: obj.predict_batch_json(inputs) and returns: self