准备工作

要使用 AutoML Translation，您必须先为自己的项目启用该服务。打开 AutoML Translation 界面，然后从标题栏右上角的下拉列表中选择您的项目。该应用将引导您完成必要的步骤（具体步骤也将在下文中为您介绍）。

设置项目

1. 登录您的 Google Cloud 账号。如果您是 Google Cloud 新手，请创建一个账号来评估我们的产品在实际场景中的表现。新客户还可获享 $300 赠金，用于运行、测试和部署工作负载。
2. Install the Google Cloud CLI.

3. To initialize the gcloud CLI, run the following command:

   gcloud init

4. Create or select a Google Cloud project.

   Note: If you don't plan to keep the resources that you create in this procedure, create a project instead of selecting an existing project. After you finish these steps, you can delete the project, removing all resources associated with the project.

   • Create a Google Cloud project:

     gcloud projects create PROJECT_ID

     Replace PROJECT_ID with a name for the Google Cloud project you are creating.

   • Select the Google Cloud project that you created:

     gcloud config set project PROJECT_ID

     Replace PROJECT_ID with your Google Cloud project name.

5. 确保您的 Google Cloud 项目已启用结算功能。

6. Enable the AutoML and Cloud Storage APIs:

   gcloud services enable storage-component.googleapis.com automl.googleapis.com storage-api.googleapis.com

7. Install the Google Cloud CLI.

8. To initialize the gcloud CLI, run the following command:

   gcloud init

9. Create or select a Google Cloud project.

   Note: If you don't plan to keep the resources that you create in this procedure, create a project instead of selecting an existing project. After you finish these steps, you can delete the project, removing all resources associated with the project.

   • Create a Google Cloud project:

     gcloud projects create PROJECT_ID

     Replace PROJECT_ID with a name for the Google Cloud project you are creating.

   • Select the Google Cloud project that you created:

     gcloud config set project PROJECT_ID

     Replace PROJECT_ID with your Google Cloud project name.

10. 确保您的 Google Cloud 项目已启用结算功能。

11. Enable the AutoML and Cloud Storage APIs:

    gcloud services enable storage-component.googleapis.com automl.googleapis.com storage-api.googleapis.com

12. 将 PROJECT_ID 环境变量设置为项目 ID。

    export PROJECT_ID=PROJECT_ID

    AutoML API 调用和资源名称中包含您的项目 ID。通过 PROJECT_ID 环境变量提供了一种指定 ID 的便捷方式。

创建 Cloud Storage 存储桶

创建一个 Google Cloud Storage 存储桶，以存储您将用于训练自定义模型的句对。存储桶名称必须采用以下格式：project-id-vcm。以下命令将在 us-central1 地区中创建一个名为 project-id-vcm 的存储桶。

gcloud storage buckets create gs://project-id-vcm/ --project=project-id --location=us-central1

我们建议您对 Cloud Storage 文件使用以下文件结构：gs://project-id-vcm/dataset-name/documents/document-name.txt