diff --git a/README.md b/README.md
index 8a48f49..7b86908 100644
--- a/README.md
+++ b/README.md
@@ -1,2 +1,20 @@
 # enginex-bi_series-image-classification
+## Quickstart
+### 启动服务
+修改docker.sh的脚本中$mountpath为本地的模型挂载路径
+然后运行./docker.sh
+当打印出以下内容时表示模型load成功
+```
+2026-04-08 06:22:55 /workspace/transformers_server.py INFO model loaded successfully
+INFO:     Application startup complete.
+INFO:     Uvicorn running on http://0.0.0.0:8000 (Press CTRL+C to quit)
+```
 
+### 运行测试
+执行 python3 test.py
+打印出以下内容, 图片分类的top5 labels:
+```
+status_code: 200
+response:
+{"labels":[282,281,761,285,612]}
+```
diff --git a/docker.sh b/docker.sh
index 8e8c70c..10b9488 100755
--- a/docker.sh
+++ b/docker.sh
@@ -3,4 +3,4 @@ docker rm bi150_ic
 
 docker build . -t bi150_image_classification
 
-docker run -p 17777:8000 -v /mnt/contest_ceph/aiyueqi/image_classification/microsoft/resnet-50/:/model:ro -it --device=/dev/iluvatar0:/dev/iluvatar0  --name bi150_ic -e CONFIG_JSON='{"model_class": "AutoModelForImageClassification", "processer": "AutoImageProcessor", "torch_dtype": "auto"}' bi150_image_classification
+docker run -p 17777:8000 -v /$mountpath/:/model:ro -it --device=/dev/iluvatar0:/dev/iluvatar0  --name bi150_ic -e CONFIG_JSON='{"model_class": "AutoModelForImageClassification", "processer": "AutoImageProcessor", "torch_dtype": "auto"}' bi150_image_classification