docstr: Load a ONNX model file from disk
  
  Parameters
  ----------
  model_file: str
      Path where the model file path is (protobuf file)
  
  Returns
  -------
  model: A ONNX protobuf model
docstr_tok: ["Load","a","ONNX","model","file","from","disk","Parameters","--","--","--","--","--","model_file",":","str","Path","where","the","model","file","path","is","(","protobuf","file",")","Returns","--","--","--","-","model",":","A","ONNX","protobuf","model"]
code: def _load_model(model_file):
      """Load a ONNX model file from disk
  
      Parameters
      ----------
      model_file: str
          Path where the model file path is (protobuf file)
  
      Returns
      -------
      model: A ONNX protobuf model
      """
      from onnx import onnx_pb2
      from mmdnn.conversion.common.IR.IR_graph import (
          load_protobuf_from_file,
      )
  
      model = onnx_pb2.ModelProto()
      load_protobuf_from_file(model, model_file)
  
      print("ONNX model file [%s] loaded successfully." % model_file)
      return model
  
file_path: MMdnn/mmdnn/conversion/onnx/onnx_parser.py
imports: from mmdnn.conversion.common.DataStructure.parser import Parser
  from mmdnn.conversion.onnx.onnx_graph import ONNXGraph
label_desc: Use image node_id 2 for calling the ONNXParser obj's underlying member method code with example usage: obj._load_model(model_file) and returns: model