class_docstr: Base class for LIT models.
docstr: Indcates support for multiple concurrent predict calls across threads.
  
  Defaults to false.
  
  Returns:
    (bool) True if the model can handle multiple concurrent calls to its
    `predict` method.
docstr_tok: ["Indcates","support","for","multiple","concurrent","predict","calls","across","threads",".","Defaults","to","false",".","Returns",":","(","bool",")","True","if","the","model","can","handle","multiple","concurrent","calls","to","its","`","predict","`","method","."]
code: def supports_concurrent_predictions(self):
      """Indcates support for multiple concurrent predict calls across threads.
  
      Defaults to false.
  
      Returns:
        (bool) True if the model can handle multiple concurrent calls to its
        `predict` method.
      """
      return False
  
imports: import abc
  from collections.abc import Iterable, Iterator
  import inspect
  import itertools
  import multiprocessing
  from typing import Optional, Union
  from absl import logging
  from lit_nlp.api import dataset
  from lit_nlp.api import types
  from lit_nlp.lib import utils
  import numpy
label_desc: Use image node_id 4 for calling the Model obj's underlying member method code with example usage: obj.supports_concurrent_predictions() and returns: False