Creating Async Translation Jobs with Pretrained Models

• Console
• CLI
• API

• Upload documents to a bucket. For more information, see Upload Dataset. If translation outputs must be stored in a different bucket, create a new bucket or ensure an existing bucket is available.

  1. On the Jobs list page, select Create job. If you need help finding the list page, see Listing Projects.
  2. Enter a name and compartment.
  3. Select the Pretrained language translation.
  4. Select source language.
  5. Select target languages.
  6. (Optional) Provide advanced properties as necessary
  7. Select Next.
  8. Provide the Job input data.
     • Change the compartment (optional)
     • Select the bucket where the document is located.
     • Select a data file or a folder with documents.
  9. (Optional) Specify the Job output data.
     • If Store output files along input assets is selected, we recommend adding a prefix (such as, `output/) to place all translation outputs in a separate folder.
     • If Store output files in a different bucket is selected, select an output bucket and set the prefix as necessary.
  10. To review details, select Next.
  11. Select Create job.

• Use the oci ai language create job command and required parameters to create Async jobs:

  Example:

  Copy

  oci ai language job create --generate-param-json-input input-location > input-location.json
      oci ai language job create --generate-param-json-input model-metadata-details > model-metadata-details.json
      oci ai language job create --generate-param-json-input output-location > output-location.json

  For a complete list of flags and variable options for CLI commands, see the CLI Command Reference.

• Run the CreateJob operation to create an Async job.