시작하기 전에

AutoML Translation을 사용하려면 우선 프로젝트에서 사용 설정해야 합니다. AutoML Translation UI를 열고 제목 표시줄 오른쪽 위의 드롭다운 목록에서 프로젝트를 선택합니다. 그러면 애플리케이션에서 필요한 단계를 안내하며 아래에서도 각 단계에 대해 설명합니다.

Set up your project

1. Sign in to your Google Cloud account. If you're new to Google Cloud, create an account to evaluate how our products perform in real-world scenarios. New customers also get $300 in free credits to run, test, and deploy workloads.
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. Make sure that billing is enabled for your Google Cloud project.

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. Make sure that billing is enabled for your Google Cloud project.

11. Enable the AutoML and Cloud Storage APIs:

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

12. Set the PROJECT_ID environment variable to your Project ID.

    export PROJECT_ID=PROJECT_ID

    The AutoML API calls and resource names include your Project ID in them. The PROJECT_ID environment variable provides a convenient way to specify the ID.

Cloud Storage 버킷 생성

Google Cloud Storage 버킷을 만들고 커스텀 모델 학습에 사용할 문장 쌍을 저장합니다. 버킷 이름은 project-id-vcm 형식이어야 합니다. 다음 명령어는 project-id-vcm이라는 us-central1 리전에 스토리지 버킷을 만듭니다.

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

Cloud Storage 파일에 권장되는 파일 구조는 다음과 같습니다. gs://project-id-vcm/dataset-name/documents/document-name.txt