Cancel a Supervised Tuning Job in Vertex AI

This sample code demonstrates how to cancel an existing tuning job in Vertex AI.

Explore further

For detailed documentation that includes this code sample, see the following:

• Method: projects.locations.tuningJobs.cancel
• Method: projects.locations.tuningJobs.cancel
• Method: projects.locations.tuningJobs.cancel
• Method: projects.locations.tuningJobs.cancel
• Tune Gemini models by using supervised fine-tuning
• Tuning API

Code sample

Python

Before trying this sample, follow the Python setup instructions in the Vertex AI quickstart using client libraries. For more information, see the Vertex AI Python API reference documentation.

To authenticate to Vertex AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.

import vertexai
from vertexai.tuning import sft

# TODO(developer): Update and un-comment below lines
# PROJECT_ID = "your-project-id"
# LOCATION = "us-central1"
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()

What's next

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