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Signed-off-by: ezirmusitua <[email protected]>
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ezirmusitua committed Nov 15, 2023
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Expand Up @@ -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

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Expand Up @@ -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

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Expand Up @@ -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

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