HN user
Docker model run is now part of my demos when deploying ml stack stuff, pretty sure that this is removing the entrypoint of using multiple tools to just do inference, this is great!
This allowed me to change from pyenv, node and everything into a something really neat and simple, the only thing it caught my surprise was `mise trust` but then the CLI help me to understand, Thanks jdxcode!
Huge fan since I saw them in Skydeck Berkeley, also Jorge is one of the best talented engineers, and managers I have ever meet and an inspiration to myself. Awesome to see Adam & Jorge pushing the limits of ML to make ML accessible to everyone!
Wow. It seems to save a lot of boilerplate code for ETL.