From 30393e325de485464bac4cd94945ac66820b0884 Mon Sep 17 00:00:00 2001
From: Cherrytest <cherrytest@163.com>
Date: Wed, 18 Sep 2024 16:13:31 +0000
Subject: [PATCH] Update README.md

---
 README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 3252398..9c02f54 100644
--- a/README.md
+++ b/README.md
@@ -50,8 +50,8 @@ 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 transformers import AutoModelForCausalLM, AutoTokenizer
-model_name = "Qwen/Qwen2.5-72B-Instruct-GPTQ-Int4"
+from modelscope import AutoModelForCausalLM, AutoTokenizer
+model_name = "qwen/Qwen2.5-72B-Instruct-GPTQ-Int4"
 model = AutoModelForCausalLM.from_pretrained(
     model_name,
     torch_dtype="auto",