初始化项目，由ModelHub XC社区提供模型

Model: Norod78/distilgpt2-base-pretrained-he
Source: Original Platform

converters/convert2onnx.py

@@ -0,0 +1,31 @@
+#!/usr/bin/python
+# -*- coding: utf-8 -*-
+
+import transformers
+from transformers import AutoTokenizer, AutoModelForCausalLM, AutoModel, AutoConfig
+from transformers.onnx import FeaturesManager, convert, export
+from pathlib import Path
+import os
+
+model_id = "./distilgpt2-base-pretrained-he"
+export_folder = "tmp/onnx/"
+file_name = "model.onnx"
+
+print('Loading tokenizer...')
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+print('Saving tokenizer to ', export_folder)
+tokenizer.save_pretrained(export_folder)
+print('Loading model...')
+model = AutoModelForCausalLM.from_pretrained(model_id)
+
+feature= "causal-lm"
+model_kind, model_onnx_config = FeaturesManager.check_supported_model_or_raise(model, feature=feature)
+onnx_config = model_onnx_config(model.config)
+
+print("model_kind = {0}\nonx_config = {1}\n".format(model_kind, onnx_config))
+
+onnx_path = Path(export_folder+file_name)
+
+print('Exporting model to ', onnx_path)
+onnx_inputs, onnx_outputs = export(tokenizer, model, onnx_config, onnx_config.default_onnx_opset, onnx_path)
+print('Done')