databricks model serving permissions - Axtarish в Google
30 окт. 2024 г. · This article describes how to manage model serving endpoints using the Serving UI and REST API. See Serving endpoints in the REST API reference.
30 окт. 2024 г. · Manage permissions on your model serving endpoint. You must have at least the CAN MANAGE permission on a serving endpoint to modify permissions.
Sets permissions on an object, replacing existing permissions if they exist. Deletes all direct permissions if none are specified.
5 дней назад · Permissions on the registered models as described in Serving endpoint ACLs. MLflow 1.29 or higher. Enable Model Serving for your workspace. Manage model serving... · Migrate to Model Serving · Foundation Model APIs
30 окт. 2024 г. · This article describes how to create model serving endpoints that serve custom models using Databricks Model Serving.
This resource allows you to manage Model Serving endpoints in Databricks. ... If you replace served_models with served_entities in an existing serving endpoint, ...
Gets the permissions of a serving endpoint. Serving endpoints can inherit permissions from their root object.
3 окт. 2024 г. · Here, you can set who can access model and use it. To use the serving endpoint, you just need PAT token to make successful request.
Model serving usage. Valid permission levels for databricks_model_serving are: CAN_VIEW , CAN_QUERY , and CAN_MANAGE . resource "databricks_model_serving ...
7 дней назад · There are four assignable permission levels for databricks_pipeline: CAN_VIEW , CAN_RUN , CAN_MANAGE , and IS_OWNER . Admins are granted the ...
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