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Version: 0.6.0

Getting started with Starwhale Cloud

Starwhale Cloud is hosted on Aliyun with the domain name https://cloud.starwhale.cn. In the futher, we will launch the service on AWS with the domain name https://cloud.starwhale.ai. It's important to note that these are two separate instances that are not interconnected, and accounts and data are not shared. You can choose either one to get started.

You need to install the Starwhale Client (swcli) at first.

Sign Up for Starwhale Cloud and create your first project​

You can either directly log in with your GitHub or Weixin account or sign up for an account. You will be asked for an account name if you log in with your GitHub or Weixin account.

Then you can create a new project. In this tutorial, we will use the name demo for the project name.

Build the dataset, model, and runtime on your local machine​

Follow step 1 to step 4 in Getting started with Starwhale Standalone to create:

  • a Starwhale model named mnist
  • a Starwhale dataset named mnist
  • a Starwhale runtime named pytorch

Login to the cloud instance​

swcli instance login --username <your account name> --password <your password> --alias swcloud https://cloud.starwhale.cn

Copy the dataset, model, and runtime to the cloud instance​

swcli model copy mnist swcloud/project/<your account name>:demo
swcli dataset copy mnist swcloud/project/<your account name>:demo
swcli runtime copy pytorch swcloud/project/<your account name>:demo

Run an evaluation with the web UI​

console-create-job.gif

Congratulations! You have completed the Starwhale Cloud Getting Started Guide.