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        • Viewing Details About a Standard Dedicated Resource Pool - ModelArts

          Viewing Details About a Standard Dedicated Resource Pool - ModelArts

          Deleting a logical subpool Locate the target logical subpool and click Delete in the Operation column. In the displayed dialog box, enter DELETE and click OK.

          Help > ModelArts > ModelArts User Guide (Standard) > ModelArts Standard Resource Management > Managing Standard Dedicated Resource Pools
        • Managing Training Job Versions - ModelArts

          Managing Training Job Versions - ModelArts

          Delete Click More > Delete to delete the training job of the current version. Figure 3 Shortcut operation buttons Parent topic: Training Management (Old Version )

          Help > ModelArts > User Guide (Senior AI Engineers) > Training Management (Old Version )
        • Viewing ModelArts Model Details - ModelArts

          Viewing ModelArts Model Details - ModelArts

          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.

          Help > ModelArts > ModelArts User Guide (Standard) > Using ModelArts Standard to Deploy Models for Inference and Prediction > Managing ModelArts Models
        • Service Management - ModelArts

          Service Management - ModelArts

          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

          Help > ModelArts > SDK Reference
        • What Should I Do to Avoid Unnecessary Billing After I Label Datasets and Exit? - ModelArts

          What Should I Do to Avoid Unnecessary Billing After I Label Datasets and Exit? - ModelArts

          You are advised to go to the OBS management console and delete the stored data and OBS buckets to stop billing. Parent topic: Billing FAQs

          Help > ModelArts > Billing > Billing FAQs
        • Member Management - ModelArts

          Member Management - ModelArts

          To change the email address of a member, delete the member, and set a new email address when adding a member. Possible values of Role are Labeler, Reviewer, and Team Manager. Only one Team Manager can be set.

          Help > ModelArts > User Guide (Senior AI Engineers) > Data Management (Old Version to Be Terminated) > Team Labeling
        • Service Management Permissions - ModelArts

          Service Management Permissions - ModelArts

          /services modelarts:service:list N/A √ √ Obtaining details about a model service GET /v1/{project_id}/services/{service_id} modelarts:service:get N/A √ √ Updating a model service PUT /v1/{project_id}/services/{service_id} modelarts:service:update N/A √ √ Deleting a model service DELETE

          Help > ModelArts > API Reference > Permissions Policies and Supported Actions
        • Migrating Existing Images to ModelArts - ModelArts

          Migrating Existing Images to ModelArts - ModelArts

          FROM {An existing image} USER root # If the user group whose GID is 100 already exists, delete the groupadd command. RUN groupadd ma-group -g 100 # If the user whose UID is 1000 already exists, delete the useradd command.

          Help > ModelArts > ModelArts User Guide (Standard) > Creating a Custom Image for ModelArts Standard > Creating a Custom Image for Model Training
        • What Should I Do to Avoid Unnecessary Billing After I Label Datasets and Exit? - ModelArts

          What Should I Do to Avoid Unnecessary Billing After I Label Datasets and Exit? - ModelArts

          To avoid unnecessary billing, you are advised to access OBS Console and delete data and the OBS buckets in the OBS path for storing the datasets after data labeling. Parent topic: Billing

          Help > ModelArts > FAQs > Billing
        • Error Message "Failed to install the VS Code Server" or "tar: Error is not recoverable: exiting now" Is Displayed - ModelArts

          Error Message "Failed to install the VS Code Server" or "tar: Error is not recoverable: exiting now" Is Displayed - ModelArts

          Solution Delete unnecessary files in /home/ma-user/work. Parent topic: Failures to Access the Development Environment Through VS Code

          Help > ModelArts > Troubleshooting > DevEnviron > Failures to Access the Development Environment Through VS Code
        • Managing Dataset Versions - ModelArts

          Managing Dataset Versions - ModelArts

          For the published versions, you can view the dataset version updates, set the current version, and delete versions. For details about dataset versions, see About Dataset Versions. For details about how to publish a new version, see Publishing a Dataset.

          Help > ModelArts > User Guide (Senior AI Engineers) > Data Management (Old Version to Be Terminated)
        • Managing Team Members - ModelArts

          Managing Team Members - ModelArts

          To change the email address of a member, delete the member, and set a new email address when adding a member. Possible values of Role are Labeler, Reviewer, and Team Manager. Only one Team Manager can be set.

          Help > ModelArts > Data Labeling (To Be Offline) > Team Labeling > Creating and Managing Teams
        • What Do I Do If Error Message "Failed to install the VS Code Server" or "tar: Error is not recoverable: exiting now" Is Displayed? - ModelArts

          What Do I Do If Error Message "Failed to install the VS Code Server" or "tar: Error is not recoverable: exiting now" Is Displayed? - ModelArts

          Solution Delete unnecessary files in /home/ma-user/work. Parent topic: Failures to Access the Development Environment Through VS Code

          Help > ModelArts > FAQs > Notebook (New Version) > Failures to Access the Development Environment Through VS Code
        • What Type of Service Is Deployed in ExeML? - ModelArts

          What Type of Service Is Deployed in ExeML? - ModelArts

          After model development is successful, you can choose Service Deployment > Real-Time Services in the left navigation pane of the ModelArts console to view running services, and stop or delete services. Parent topic: Deploying Models

          Help > ModelArts > FAQs > ExeML (Old Version) > Deploying Models
        • Rectifying a Faulty Node in a Standard Dedicated Resource Pool - ModelArts

          Rectifying a Faulty Node in a Standard Dedicated Resource Pool - ModelArts

          To delete nodes in batches, select the target nodes and click Delete above the node list, enter DELETE in the displayed dialog box, and click OK. For a yearly/monthly resource pool whose resources are not expired, click Unsubscribe in the Operation column.

          Help > ModelArts > ModelArts User Guide (Standard) > ModelArts Standard Resource Management > Managing Standard Dedicated Resource Pools
        • Unmounting OBS Storage from a Notebook Instance - ModelArts

          Unmounting OBS Storage from a Notebook Instance - ModelArts

          URI DELETE /v1/{project_id}/notebooks/{instance_id}/storage/{storage_id} Table 1 Path Parameters Parameter Mandatory Type Description instance_id Yes String Notebook instance ID, which can be obtained by calling the API for querying the notebook instance list. project_id Yes String

          Help > ModelArts > API Reference > Development Environment Management
        • What Can I Do If the Message "Object directory size/quantity exceeds the limit" Is Displayed When I Create a Training Job? - ModelArts

          What Can I Do If the Message "Object directory size/quantity exceeds the limit" Is Displayed When I Create a Training Job? - ModelArts

          Solution Delete the files except the code from the code directory or save the files in other directories. Ensure that the size of the code directory does not exceed 128 MB and the number of files does not exceed 4,096. Parent topic: Creating a Training Job

          Help > ModelArts > FAQs > Training Jobs > Creating a Training Job
        • Labeling Text - ModelArts

          Labeling Text - ModelArts

          You can click Delete Labels on Current Item at the bottom of the page to delete all labels in the selected text object. Figure 6 Deleting current labels Parent topic: Manual Labeling

          Help > ModelArts > ModelArts User Guide (Standard) > Preparing and Processing Data > Labeling ModelArts Data > Manual Labeling
        • Managing Visualization Jobs - ModelArts

          Managing Visualization Jobs - ModelArts

          Deleting a Visualization Job If your visualization job is no longer used, you can delete it to release resources. In the visualization job list, click Delete in the Operation column to delete the visualization job. A deleted visualized job cannot be recovered.

          Help > ModelArts > User Guide (Senior AI Engineers) > Training Management (Old Version )
        • High-Risk Operations - ModelArts

          High-Risk Operations - ModelArts

          Table 1 Operations and risks Object Operation Risk Severity Solution Cluster Upgrade, modify, hibernate, or delete clusters.

          Help > ModelArts > ModelArts User Guide (Lite Cluster) > Before You Start
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