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:
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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
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Credits logo animation
Title: Conjungation · Author: Uncle Milk · Source: [ Ссылка ] · License: [ Ссылка ]... · Download (9MB): [ Ссылка ]
