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Glad your endpoint was successfully deployed. It’s not super intuitive, but in order to access it, instead of clicking on the endpoint for review, you need to copy the value in the Azure Resource Link, and paste it into a new browser tab which will open the AzureML resource for you. This is shown in the demo video here.
I followed those instructions to the letter and they don’t work. When I copy and paste the URI into a browser I get the following:
Correction, I copied the wrong link, but I had already gone to the ML Studio (you don’t need to copy the resource link to do this) and followed the same directions, and I see the following in my deployment logs…
DenyAssignmentAuthorizationFailed
The client ‘live.com#tim.shinkle@gmail.com’ with object id ‘bd9f44c6-ae23-4d7d-a97c-c947f446d444’ has permission to perform action ‘Microsoft.MachineLearningServices/workspaces/onlineEndpoints/deployments/getLogs/action’ on scope ‘/subscriptions/8bf9dedd-1fbf-4331-93aa-ae109bc9eee1/resourceGroups/mrg-huggingface-20230226191533/providers/Microsoft.MachineLearningServices/workspaces/huggingfacerfo735bzxdm/onlineEndpoints/distilbert-base-uncase-79i7a1i6/deployments/main’; however, the access is denied because of the deny assignment with name ‘System deny assignment created by managed application /subscriptions/8bf9dedd-1fbf-4331-93aa-ae109bc9eee1/resourceGroups/TestHugginfaceAzureML/providers/Microsoft.Solutions/applications/TransformerBERT’ and Id ‘b1719e72da744a5291b6dac9ed3d7e83’ at scope ‘/subscriptions/8bf9dedd-1fbf-4331-93aa-ae109bc9eee1/resourceGroups/mrg-huggingface-20230226191533’.
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