In this video, we will go through a simple end to end example how to deploy a ML model on Kubernetes. We will use an pretrained Transformer model on the task of masked language modelling (fill-mask) and turn it into a REST API. Then we will containerize our service and finally deploy it on a Kubernetes cluster.
Code from the video:
github.com/jankrepl/mildlyove...
00:00 Intro
00:22 3 step procedure diagram
01:42 Existing framework overview
02:09 Creating an API
09:25 Containerization
13:53 Containerization - custom platform
15:47 Preparing a minikube K8s cluster
17:43 K8s: Deployment and service
21:31 K8s: 2 cool features - self-healing and load balancing
26:00 Outro
If you have any video suggestions or you just wanna chat feel free to join the discord server: / discord
Twitter: / moverfitted
Credits logo animation
Title: Conjungation · Author: Uncle Milk · Source: / unclemilk · License: creativecommons.org/licenses/... · Download (9MB): auboutdufil.com/?id=600