From 89c64817ce4172bc8bb58c675c445a63f16d0e38 Mon Sep 17 00:00:00 2001
From: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Date: Fri, 23 Feb 2024 10:43:31 +0100
Subject: [PATCH] [`Doc`] update model doc qwen2 (#29238)

* update model doc qwen2

* Update docs/source/en/model_doc/qwen2.md

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

---------

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
---
 docs/source/en/model_doc/qwen2.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/source/en/model_doc/qwen2.md b/docs/source/en/model_doc/qwen2.md
index 61e45fd9c2c..5f9e5dba22b 100644
--- a/docs/source/en/model_doc/qwen2.md
+++ b/docs/source/en/model_doc/qwen2.md
@@ -35,8 +35,8 @@ In the following, we demonstrate how to use `Qwen2-7B-Chat-beta` for the inferen
 >>> from transformers import AutoModelForCausalLM, AutoTokenizer
 >>> device = "cuda" # the device to load the model onto
 
->>> model = AutoModelForCausalLM.from_pretrained("Qwen2/Qwen2-7B-Chat-beta", device_map="auto")
->>> tokenizer = AutoTokenizer.from_pretrained("Qwen2/Qwen2-7B-Chat-beta")
+>>> model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen1.5-7B-Chat", device_map="auto")
+>>> tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen1.5-7B-Chat")
 
 >>> prompt = "Give me a short introduction to large language model."