Antes de comenzar

Antes de poder usar AutoML Translation, debes habilitarla para tu proyecto. Abre la IU de AutoML Translation y selecciona tu proyecto de la lista desplegable en la parte superior derecha de la barra de título. La aplicación te guía a través de los pasos necesarios, que también se describen a continuación.

Configura tu proyecto

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. Establece la variable de entorno PROJECT_ID para tu ID del proyecto.

    export PROJECT_ID=PROJECT_ID

    Las llamadas a la API de AutoML y los nombres de los recursos incluyen el ID de tu proyecto. El La variable de entorno PROJECT_ID proporciona una forma conveniente de especificar el ID.

Cree un bucket de Cloud Storage

Crea un bucket de Google Cloud Storage a fin de almacenar los pares de oraciones que usarás para entrenar tu modelo personalizado. El nombre del depósito debe tener el siguiente formato: project-id-vcm. Con el siguiente comando, se crea un depósito de almacenamiento llamado project-id-vcm en la región us-central1.

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

Te recomendamos la siguiente estructura para tus archivos de Cloud Storage: gs://project-id-vcm/dataset-name/documents/document-name.txt