From fbc90ba74fb4b870ac4601aa205c87b27b310eea Mon Sep 17 00:00:00 2001 From: Colin Versteeg Date: Mon, 10 Jun 2019 16:50:59 -0700 Subject: [PATCH] add to quickstart --- .../accelerated-models/accelerated-models-quickstart.ipynb | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/how-to-use-azureml/deployment/accelerated-models/accelerated-models-quickstart.ipynb b/how-to-use-azureml/deployment/accelerated-models/accelerated-models-quickstart.ipynb index af1d153e..76c69c92 100644 --- a/how-to-use-azureml/deployment/accelerated-models/accelerated-models-quickstart.ipynb +++ b/how-to-use-azureml/deployment/accelerated-models/accelerated-models-quickstart.ipynb @@ -417,7 +417,9 @@ "### 7.a. Create Client\n", "The image supports gRPC and the TensorFlow Serving \"predict\" API. We have a client that can call into the docker image to get predictions.\n", "\n", - "**Note:** If you chose to use auth_enabled=True when creating your AksWebservice, see documentation [here](https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.core.webservice(class)?view=azure-ml-py#get-keys--) on how to retrieve your keys and use either key as an argument to PredictionClient(...,access_token=key)." + "**Note:** If you chose to use auth_enabled=True when creating your AksWebservice, see documentation [here](https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.core.webservice(class)?view=azure-ml-py#get-keys--) on how to retrieve your keys and use either key as an argument to PredictionClient(...,access_token=key).", + "\n", + "**WARNING:** If you are running on Azure Notebooks free compute, you will not be able to make outgoing calls to your service. Try locating your client on a different machine to consume it." ] }, {