How to Create and Deploy a Model to Production Using Gradient: MNIST Classifier
In this tutorial, Gradient users will learn how to use Gradient to train and deploy a model to production. We will show how to train an MNIST image classification model using Workflows, upload the model to our model storage, and deploy it using Deployments. We then conclude with a test to show the new model Deployment was successfully made accessible as an API endpoint.
This video is based on the blog post: blog.paperspace.com/notebooks-workflows-and-now-deployments/
For more guidance, follow the tips on the Github page: https://github.com/gradient-ai/Deploy...
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