outlog
We are glad to announce a variety of Neural Networks models are now available to the Elixir community via the Bumblebee project.
We have implemented several models, from GPT2 to Stable Diffusion, in pure Elixir, and you can download training parameters for said models directly from Hugging Face.
To run your first Machine Learning model in Elixir, all you need is three clicks, thanks to our integration between Livebook and Bumblebee. You can also easily embed and run said models within existing Elixir projects.
Watch the video by José Valim covering all of these topics and features:
Full details:
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AstonJ
Nice!!
Love the image classification from inside a Phoenix app!!
kwando
Santa is early this year
Looks really amazing, I’m excited to play around with this. I love the way Livebook makes all of this so approachable for us that wanna learn and jump on the AI/ML bandwagon 
outlog
https://twitter.com/chris_mccord/status/1600956230339817473
sergio
Wonderful! I have a few use cases for this specifically at work. The demo video was very well done!
lud
@chrismccord is the source of that demo available somewhere? I would like to show off elixir to my colleagues
Found it : GitHub - chrismccord/single_file_phx_bumblebee_ml · GitHub
kwando
Is there anything I can do to make this run on the GPU on the M1 Mac? For instance running Stable Diffusion since It is a bit slow
I dont know where to begin or what to search for in order to answer this myself 
pestoAioli
I’m having the same issue…
josevalim
Unfortunately Apple Silicon GPU support is still rudimentary everywhere (including Python ones) except in Apple’s on tooling. Apple did provide a XLA backend for CoreML some time but IIRC it was closed source and it did not catch on.
We have an issue to explore this a bit more but CoreML has limitations such as being unable to support f64 floats (aka doubles) and others.
So we will see.
TL;DR: CPU only on Apple Silicon. If someone wants to work on a CoreML backend for Nx though, it would be great!
pestoAioli
Thank you Jose!
kwando
Thanks for the update Jose
I did what I could
