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To avoid unnecessary fees, delete EVS resources in a timely manner to stop charging. For details about EVS billing, see Table 1. For details about how to delete an EVS, see Detaching and Deleting an EVS Disk.
Deleting an annotator Click Delete in the Operation column to delete the annotator. Parent topic: Image Labeling
Example: # Unregister image ma-cli image unregister --image-id=xx # Unregister image and delete it from swr ma-cli image unregister --image-id=xx -d Options: -i, --image-id TEXT Unregister image details by image id.
Choose More > Delete in the Operation column. In the displayed dialog box, enter DELETE and click OK to delete the service. Parent topic: Managing My Services in ModelArts Studio (MaaS)
In the All statuses, Unlabeled, or Labeled tab, select the images to be deleted or click Select Images on Current Page, and click Delete in the upper left corner to delete them. In the displayed dialog box, select or deselect Delete the source files from OBS as required.
() Method 2: Delete the visualization job created in Creating a Visualization Job. 1 status = job_visualization_instance.delete_visualization_job() Method 3: Delete the visualization job object returned in Querying the List of Visualization Job Objects. 1 status = job_visualization_instance_list
In the notebook list, locate the target notebook instance, and click Delete in the Operation column. In the displayed dialog box, confirm the information, enter DELETE in the text box, and click OK. Deleted notebook instances cannot be recovered.
= estimator.delete_job_configs() Method 2: Delete the training job parameter configuration created in Creating a Training Job Configuration. 1 status = job_config_instance.delete_job_configs() Method 3: Delete the training job parameter configuration object returned in Querying
Solution Check whether no_proxy or NO_PROXY contains huaweicloud.com: env | grep -i no_proxy If yes, reset or delete the environment variable.
You can create, update, or delete node pools. Managing Lite Cluster Nodes: A node is a fundamental component of a container cluster. You can replace, delete, or reset a node within a resource pool. You can also delete, unsubscribe from, or renew nodes in batches.
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.
Key Operations Supported by ModelArts Lite Server Table 1 Key operations supported by ModelArts Lite Server Operation Resource Type Trace Create Server createServer Update Server stopServer Update Server startServer Update Server rebootServer Delete Server deleteServer Read Server
get smn:topic:publish obs:object:PutObject obs:object:GetObject obs:object:GetObjectVersion obs:bucket:HeadBucket obs:object:DeleteObject obs:object:GetObject obs:bucket:CreateBucket obs:bucket:ListBucket modelarts:trainJob:list modelarts:trainJob:update modelarts:trainJobVersion:delete
() Method 2: Delete the training job version created in Creating a Training Job Version. 1 status = job_version_instance.delete_job_version() Method 3: Delete the training job version object returned in Querying the List of Training Job Versions. 1 status = job_version_instance_list
object:GetObjectAcl obs:object:PutObjectAcl obs:object:PutObject obs:object:GetObject obs:object:DeleteObject obs:object:ModifyObjectMetaData √ √ Modifying a training job PUT /v2/{project_id}/training-jobs/{training_job_id} modelarts:trainJob:update N/A √ √ Deleting a training job DELETE
Clear Conda. conda clean -p # Delete useless packages. conda clean -t # Delete compressed packages. conda clean -y --all # Delete all installation packages and clear caches.
In the notebook list, locate the target notebook instance, and click Delete in the Operation column. In the displayed dialog box, confirm the information, enter DELETE in the text box, and click OK. Deleted notebook instances cannot be recovered.
On the Training Jobs page, Click Delete in the Operation column. In the displayed dialog box, enter DELETE, and click OK to confirm the deletion. Go to OBS and delete the OBS bucket and files used by the training job.
Clear Conda. conda clean -p # Delete useless packages. conda clean -t # Delete compressed packages. conda clean -y --all # Delete all installation packages and clear caches.
Solution If you do not need to use functions such as MoXing and SDKs, delete the modelarts.pth file temporarily.
