Prima di iniziare

Prima di poter utilizzare AutoML Translation, devi abilitarlo per il tuo progetto. Aperto dalla UI di AutoML Translation e seleziona il tuo progetto dalla nell'elenco a discesa in alto a destra della barra del titolo. L'applicazione ti guida eseguire i passaggi necessari, descritti anche di seguito.

Configura il progetto

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. Imposta la variabile di ambiente PROJECT_ID sul tuo ID progetto.

    export PROJECT_ID=PROJECT_ID

    Le chiamate API AutoML e i nomi delle risorse includono l'ID progetto. La variabile di ambiente PROJECT_ID offre un modo pratico per specificare l'ID.

Crea un bucket Cloud Storage

Crea un bucket Google Cloud Storage in cui archiviare le coppie di frasi che per addestrare il modello personalizzato. Il nome del bucket deve essere nel formato: project-id-vcm. Il comando seguente crea un bucket di archiviazione nella regione us-central1 denominata project-id-vcm.

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

Consigliamo la seguente struttura per i file Cloud Storage: gs://project-id-vcm/dataset-name/documents/document-name.txt