From f95c03d43067bb620b5f7ef4c02dabaa7b089cc3 Mon Sep 17 00:00:00 2001 From: ezirmusitua Date: Wed, 15 Nov 2023 09:41:13 +0800 Subject: [PATCH] apply suggestion https://github.com/WasmEdge/docs/pull/185\#discussion_r1392652961 Signed-off-by: ezirmusitua --- .../current/start/usage/serverless/aws.md | 2 +- .../current/start/usage/serverless/netlify.md | 2 +- .../current/start/usage/serverless/vercel.md | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/i18n/zh/docusaurus-plugin-content-docs/current/start/usage/serverless/aws.md b/i18n/zh/docusaurus-plugin-content-docs/current/start/usage/serverless/aws.md index 4ef99f4e..5b57fc2f 100644 --- a/i18n/zh/docusaurus-plugin-content-docs/current/start/usage/serverless/aws.md +++ b/i18n/zh/docusaurus-plugin-content-docs/current/start/usage/serverless/aws.md @@ -177,7 +177,7 @@ curl -XPOST "http://localhost:9000/2015-03-31/functions/function/invocations" -d 如果你不想使用 AWS Lambda 的基础镜像，您也可以使用自己的基础镜像，并在构建 Docker 镜像时安装 RIC 和/或 RIE。只需按照[此指南](https://docs.aws.amazon.com/lambda/latest/dg/images-create.html)中的 **Create an image from an alternative base image** 部分进行操作。 -就是这样！构建完你的 Docker 镜像后，可以按照存储库 [README](https://github.com/second-state/aws-lambda-wasm-runtime/blob/tensorflow/README.md#deploy)中概述的步骤将其部署到 AWS Lambda。现在您的无服务器函数已经准备就绪！ +准备就绪！在构建完 Docker 镜像后，可以参考存储库 [README](https://github.com/second-state/aws-lambda-wasm-runtime/blob/tensorflow/README.md#deploy)中简述的步骤将其部署到 AWS Lambda。然后你的无服务器函数就可以开始工作了！ ## 示例 2：AI 推理 diff --git a/i18n/zh/docusaurus-plugin-content-docs/current/start/usage/serverless/netlify.md b/i18n/zh/docusaurus-plugin-content-docs/current/start/usage/serverless/netlify.md index eff369a2..40a39fbb 100644 --- a/i18n/zh/docusaurus-plugin-content-docs/current/start/usage/serverless/netlify.md +++ b/i18n/zh/docusaurus-plugin-content-docs/current/start/usage/serverless/netlify.md @@ -96,7 +96,7 @@ module.exports = (req, res) => { }; ``` -完成了。[将存储库部署到 Netlify](https://www.netlify.com/blog/2016/09/29/a-step-by-step-guide-deploying-on-netlify/)，你现在就拥有一个基于 Rust 和 WebAssembly 的高性能无服务器后端的 Netlify Jamstack 应用。 +准备就绪。现在[将存储库部署到 Netlify](https://www.netlify.com/blog/2016/09/29/a-step-by-step-guide-deploying-on-netlify/)，你就拥有了一个基于 Rust 和 WebAssembly 的高性能无服务器后端的 Netlify Jamstack 应用。 ## 示例 2：AI 推理 diff --git a/i18n/zh/docusaurus-plugin-content-docs/current/start/usage/serverless/vercel.md b/i18n/zh/docusaurus-plugin-content-docs/current/start/usage/serverless/vercel.md index e728086c..d4f686ea 100644 --- a/i18n/zh/docusaurus-plugin-content-docs/current/start/usage/serverless/vercel.md +++ b/i18n/zh/docusaurus-plugin-content-docs/current/start/usage/serverless/vercel.md @@ -99,7 +99,7 @@ module.exports = (req, res) => { }; ``` -如上所示。现在[将存储库部署到 Vercel](https://vercel.com/docs/git#deploying-a-git-repository)，你现在拥有了一个使用高性能 Rust 和 WebAssembly 构建的无服务器后端的 Vercel Jamstack 应用程序。 +准备就绪。现在[将存储库部署到 Vercel](https://vercel.com/docs/git#deploying-a-git-repository)上，你就拥有了一个使用高性能 Rust 和 WebAssembly 构建的无服务器后端的 Vercel Jamstack 应用程序。 ## 示例 2：AI 推理