diff --git a/README.md b/README.md
index 9c02f54..54eb37a 100644
--- a/README.md
+++ b/README.md
@@ -1,11 +1,12 @@
 ---
+base_model: Qwen/Qwen2.5-72B-Instruct
+language:
+- en
+library_name: transformers
 license: other
 license_name: qwen
 license_link: https://huggingface.co/Qwen/Qwen2.5-72B-Instruct-GPTQ-Int4/blob/main/LICENSE
-language:
-- en
 pipeline_tag: text-generation
-base_model: Qwen/Qwen2.5-72B-Instruct
 tags:
 - chat
 ---
@@ -50,8 +51,8 @@ Also check out our [GPTQ documentation](https://qwen.readthedocs.io/en/latest/qu
 Here provides a code snippet with `apply_chat_template` to show you how to load the tokenizer and model and how to generate contents.
 
 ```python
-from modelscope import AutoModelForCausalLM, AutoTokenizer
-model_name = "qwen/Qwen2.5-72B-Instruct-GPTQ-Int4"
+from transformers import AutoModelForCausalLM, AutoTokenizer
+model_name = "Qwen/Qwen2.5-72B-Instruct-GPTQ-Int4"
 model = AutoModelForCausalLM.from_pretrained(
     model_name,
     torch_dtype="auto",