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提交 5973c87b 编写于 作者: M MRXLT
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fix readme

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README.md
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......@@ -61,9 +61,9 @@ Client package support Centos 7 and Ubuntu 18, or you can use HTTP service witho
<h3 align="center">Chinese Word Segmentation</h4>
``` shell
> python -m paddle_serving_app.package -get_model lac
> python -m paddle_serving_app.package --get_model lac
> tar -xzf lac.tar.gz
> python lac_web_service.py 9292 &
> python lac_web_service.py 9393 &
> curl -H "Content-Type:application/json" -X POST -d '{"feed":[{"words": "我爱北京天安门"}], "fetch":["word_seg"]}' http://127.0.0.1:9393/lac/prediction
{"result":[{"word_seg":"我|爱|北京|天安门"}]}
```
......@@ -77,7 +77,7 @@ Client package support Centos 7 and Ubuntu 18, or you can use HTTP service witho
<p>
``` shell
> python -m paddle_serving_app.package -get_model resnet_v2_50_imagenet
> python -m paddle_serving_app.package --get_model resnet_v2_50_imagenet
> tar -xzf resnet_v2_50_imagenet.tar.gz
> python resnet50_imagenet_classify.py resnet50_serving_model &
> curl -H "Content-Type:application/json" -X POST -d '{"feed":[{"image": "https://paddle-serving.bj.bcebos.com/imagenet-example/daisy.jpg"}], "fetch": ["score"]}' http://127.0.0.1:9292/image/prediction
......
README_CN.md
浏览文件 @ 5973c87b
......@@ -62,9 +62,9 @@ pip install paddle-serving-server-gpu # GPU
<h3 align="center">中文分词</h4>
``` shell
> python -m paddle_serving_app.package -get_model lac
> python -m paddle_serving_app.package --get_model lac
> tar -xzf lac.tar.gz
> python lac_web_service.py 9292 &
> python lac_web_service.py 9393 &
> curl -H "Content-Type:application/json" -X POST -d '{"feed":[{"words": "我爱北京天安门"}], "fetch":["word_seg"]}' http://127.0.0.1:9393/lac/prediction
{"result":[{"word_seg":"我|爱|北京|天安门"}]}
```
......@@ -78,7 +78,7 @@ pip install paddle-serving-server-gpu # GPU
<p>
``` shell
> python -m paddle_serving_app.package -get_model resnet_v2_50_imagenet
> python -m paddle_serving_app.package --get_model resnet_v2_50_imagenet
> tar -xzf resnet_v2_50_imagenet.tar.gz
> python resnet50_imagenet_classify.py resnet50_serving_model &
> curl -H "Content-Type:application/json" -X POST -d '{"feed":[{"image": "https://paddle-serving.bj.bcebos.com/imagenet-example/daisy.jpg"}], "fetch": ["score"]}' http://127.0.0.1:9292/image/prediction
......
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