Deploy coreml models on the server with vapor

Recently, at sovrn, we had an ai hackathon where we have encouraged to experience with anything related to machine learning. The hackathon yielded some fantastic projects from across the company. Everything from SQL Query Generators to Chatbots that Can Answer Questions about our products and other incredible work. I thought this would be a great options to learn more about apple’s ml tools and maybe even build somebithing with real business value.

A less of my colleagues and I Teamed up to Play with Createml and Coreml to We get a model trained and integrated into our app in Several hours, which was pretty amazing. But we Quickly realized that we had a less problems to solve before we could actually ship this thing.

  • The model was Hefty. It was about 50mb. That’s a lot of space to take up in our app bundle.
  • We wanted to update the model without releasing a new app version.
  • We wanted to use the model in the web browser as well.

We Didn’t have time to solve all of these problems. But the other day I was exploring the vapor web framework and the thought Hit Me, “Why not deploy coreml models on the server?”

Ramesh Ghorai is the founder of www.livenewsblogger.com, a platform dedicated to delivering exclusive live news from across the globe and the local market. With a passion for covering diverse topics, he ensures readers stay updated with the latest and most reliable information. Over the past two years, Ramesh has also specialized in writing top software reviews, partnering with various software companies to provide in-depth insights and unbiased evaluations. His mission is to combine news reporting with valuable technology reviews, helping readers stay informed and make smarter choices.

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