From 1e2c4cd5581225c14607619ddeb0ad80aceaaccd Mon Sep 17 00:00:00 2001
From: huangjintao <huangjintao@163.com>
Date: Wed, 18 Sep 2024 15:54:32 +0000
Subject: [PATCH] Update README.md

---
 README.md | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 50c0ec6..9637118 100644
--- a/README.md
+++ b/README.md
@@ -49,8 +49,8 @@ Also check out our [AWQ documentation](https://qwen.readthedocs.io/en/latest/qua
 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/Qwen2.5-14B-Instruct-AWQ"
+from modelscope import AutoModelForCausalLM, AutoTokenizer
+model_name = "qwen/Qwen2.5-14B-Instruct-AWQ"
 model = AutoModelForCausalLM.from_pretrained(
     model_name,
     torch_dtype="auto",
@@ -76,6 +76,7 @@ generated_ids = [
     output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
 ]
 response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
+print(response)
 ```
 
 ### Processing Long Texts