Try Gemini 1.5 models, the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window. Try Gemini 1.5 models, the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window.

Method: projects.locations.tuningJobs.cancel

Cancels a TuningJob. Starts asynchronous cancellation on the TuningJob. The server makes a best effort to cancel the job, but success is not guaranteed. Clients can use GenAiTuningService.GetTuningJob or other methods to check whether the cancellation succeeded or whether the job completed despite cancellation. On successful cancellation, the TuningJob is not deleted; instead it becomes a job with a TuningJob.error value with a google.rpc.Status.code of 1, corresponding to code.CANCELLED, and TuningJob.state is set to CANCELLED.

Endpoint

post


                https://{service-endpoint}/v1beta1/{name}:cancel

Where {service-endpoint} is one of the supported service endpoints.

Path parameters

name string

Required. The name of the TuningJob to cancel. Format: projects/{project}/locations/{location}/tuningJobs/{tuningJob}

Request body

The request body must be empty.

Example request

Python

import vertexai
from vertexai.preview.tuning import sft

# TODO(developer): Update project, location
vertexai.init(project=PROJECT_ID, location=LOCATION)

tuning_job_id = "4982013113894174720"
job = sft.SupervisedTuningJob(
    f"projects/{PROJECT_ID}/locations/{LOCATION}/tuningJobs/{tuning_job_id}"
)
job.cancel()gemini_tuning.py

Response body

If successful, the response body is empty.