检测到您已登录华为云国际站账号，为了您更好的体验，建议您访问国际站服务网站 https://www.huaweicloud.com/intl/zh-cn
不再显示此消息
检测到您已登录华为云国际站账号，为了您更好的体验，建议您访问国际站服务网站 https://www.huaweicloud.com/intl/zh-cn
不再显示此消息
The value can be: delete: Delete a lock.
is AArch, visit the URL below (manually change the commit ID and delete the angle brackets), and download the vscode-server-linux-arm64.tar.gz file.
/v1/{project_id}/models/{model_id} modelarts:model:delete N/A √ √ Querying Details About a Model GET /v1/{project_id}/models/{model_id} modelarts:model:get N/A √ √ Parent topic: Permissions Policies and Supported Actions
Deleting an Authorization To better manage your authorization, you can delete the authorization of an IAM user or delete the authorizations of all users in batches.
delete vpc:securityGroups:get Create and delete ModelArts networks, and interconnect VPCs.
You can delete an asset that has no subscribers. My Subscriptions: View your subscribed algorithms, such as the publisher, application console, and remaining quota. Click Cancel Subscription or Retrieve Subscription on the right to manage subscribed algorithms.
Figure 1 Viewing execution records Delete or edit the runtime records, or rerun the workflow. To delete a runtime record that is no longer needed, click Delete. In the displayed dialog box, click Yes.
The value can be: delete: Delete a lock.
Figure 4 Nodes Figure 5 Operation records Deleting, unsubscribing from, or releasing a node For a pay-per-use resource pool, click Delete in the Operation column. To delete nodes in batches, select the check boxes next to the node names, and click Delete.
Method 1: Delete a training job based on the specified job_id. 1 2 3 4 from modelarts.session import Session from modelarts.estimator import Estimator session = Session() Estimator.delete_job_by_id(modelarts_session=session, job_id="155500") Method 2: Delete the training job created
You can delete nodes for existing flavors in the resource pool. Before scaling in a resource pool, ensure that there are no services running in the pool. Alternatively, go to the resource pool details page, delete the nodes where no services are running to scale in the pool.
Therefore, you are advised not to delete such nodes. However, if really needed, you can delete these nodes by referring to Deleting, Unsubscribing from, or Releasing a Node. Billing When you increase the number of instances, compute resources will be billed.
Deleting a Workspace You can delete a workspace that is no longer needed. Before deleting a workspace, delete the resource pools and networks created in the workspace.
Click Delete in the Operation column of the target user. Enter DELETE and click OK. After the deletion takes effect, the user cannot use ModelArts functions.
Delete the files newly installed in a notebook instance. For example, if a large number of files have been downloaded to the notebook instance, delete them. This method applies only to directories other than the /home/ma-user/work and /cache directories.
Therefore, you are advised not to delete such nodes. If scale-in is still required, go to the resource pool details page to delete the node by referring to Viewing Resource Pool Nodes. The scale-in operation may affect running tasks and cannot be rolled back.
Check the corresponding parameter. 400 ModelArts.6344 Delete failed. Please delete the associated development environment instance first. Failed to delete the repository.
Delete: Delete a model. NOTE: If a model version has been deployed as a service, you must delete the associated service before deleting the model version. A deleted model cannot be recovered. Click the number in Versions to view the version list.
You can locate an authorization, click Delete in the Operation column, enter DELETE in the text box, and click OK. After it is deleted, the user cannot use ModelArts functions.
Overview Deploying a Local Service for Debugging Deploying a Real-Time Service Obtaining Details About a Service Testing an Inference Service Obtaining Services Obtaining Service Objects Updating Service Configurations Obtaining Service Monitoring Information Obtaining Service Logs Delete
