code: def load_onnxruntime_model(path, framework="pytorch"):
      if framework == "pytorch":
          from .pytorch.pytorch_onnxruntime_model import (
              PytorchONNXRuntimeModel,
          )
  
          return PytorchONNXRuntimeModel._load(path)
      elif framework == "tensorflow":
          from .tensorflow.model import KerasONNXRuntimeModel
  
          return KerasONNXRuntimeModel._load(path)
      else:
          invalidInputError(
              False,
              "The value {} for framework is not supported."
              " Please choose from 'pytorch'/'tensorflow'.",
          )
  
imports: from bigdl.nano.utils.common import invalidInputError
label_desc: Use image node_id 2 for calling a global function with example usage: load_onnxruntime_model(path, framework) and returns: PytorchONNXRuntimeModel, KerasONNXRuntimeModel