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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