diff --git a/docs/tutorial-serving-seldon.md b/docs/tutorial-serving-seldon.md index 49d03fd..74c687f 100644 --- a/docs/tutorial-serving-seldon.md +++ b/docs/tutorial-serving-seldon.md @@ -1,6 +1,6 @@ # Serving Models with Seldon Core and ormb (Experimental) -ormb can be used to pull models in Seldon Core. First we need to deploy Seldon Core on Kubernetes. +ormb can be used to pull models in Seldon Core. First, we need to deploy Seldon Core on Kubernetes. In this tutorial, we use [SavedModel-fashion](../examples/SavedModel-fashion) as an example, to illustrate the feature. @@ -10,7 +10,7 @@ In this tutorial, we use [SavedModel-fashion](../examples/SavedModel-fashion) as ## Push the model to remote registry -In this tutorial, we use [demo.goharbor.io][] as the remote registry. First you need to register an account in [demo.goharbor.io][]. We use `ormbtest` as username, `ORMBtest12345` as password here. +In this tutorial, we use [demo.goharbor.io][] as the remote registry. First, you need to register an account in [demo.goharbor.io][]. We use `ormbtest` as username, `ORMBtest12345` as password here.

@@ -24,7 +24,7 @@ Then, we should create a new project `tensorflow` in Harbor.

https://demo.goharbor.io/harbor/projects

-After that, the model can be pushed to the remote registry under `tensorlfow` project. +After that, the model can be pushed to the remote registry under `tensorflow` project. ```bash # Login to demo.goharbor.io