code: def convert_onnx_to_model(onnx_input_path):
      
      model = onnx.load(onnx_input_path)
      tf_rep = prepare(model)
      # Image Path
      img = np.load("./assets/image.npz")
      output = tf_rep.run(img.reshape([1, 784]))
      print("The digit is classified as ", np.argmax(output))
docs: Reimplementation of the TensorFlow-onnx official tutorial convert the onnx file to specific: model
  
      Parameters
      -----------
      onnx_input_path : string
      the path where you save the onnx file.
  
      References
      -----------
      - `onnx-tf exporting tutorial <https://github.com/onnx/tutorials/blob/master/tutorials/OnnxTensorflowExport.ipynb>`__