code: def run_model(cls, model, inputs, device="CPU", **kwargs):
      back_rep = cls.prepare(model, device)
      return back_rep.run(inputs)
  
file_path: neoml/NeoML/Python/neoml/Onnx/Backend.py
imports: from .API import load_from_buffer
  import onnx.backend.base
  import neoml.MathEngine
  import neoml.Blob
  import numpy
label_desc: Use image node_id 2 for calling the Backend obj's underlying member method code with example usage: obj.run_model(cls, model, inputs, device) and returns: back_rep