Before you begin

Before you can use AutoML Translation, you must enable it for your project. Open the AutoML Translation UI and select your project from the drop-down list in the upper right of the title bar. The application walks you through the necessary steps, which are also described below.

Create a Cloud Storage bucket

Create a Google Cloud Storage bucket to store the sentence pairs that you will use to train your custom model. The bucket name must be in the format: project-id -vcm . The following command creates a storage bucket in the us-central1 region named project-id -vcm .

gsutil mb -p project-id 
-c regional -l us-central1 gs:// project-id 
-vcm/
We recommend the following file structure for your Cloud Storage files: gs:// project-id -vcm/ dataset-name /documents/ document-name .txt
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