Viewing profile — seanmor5

I appreciate your response. I should not have replied in the manner that I did. I think there are many ways to make the argument against using these libraries, and all of the maint…

It has always been possible to do custom transformations via Series.transform. And here is a PR adding it to dataframes: https://github.com/elixir-explorer/explorer/pull/912 - the …

To be fair to the creators of “half baked” libraries, you’re comparing our work to frameworks with several years head start with the backing of trillion dollar organizations (exclu…

Hey, I'm the author! All of the chapters are done, but there are still some minor updates as APIs change. It should be going to production soon

Yeah the latency in my demo is definitely worse. There also seem to be some issues where it picks up it’s own audio and keyboard/mouse clicks and tries to transcribe them which lea…

You can use Torchx with the `mps` device, but many ops are not implemented for mps

For some of it! I was thinking more something for loading different audio encodings to Nx tensors…so doing everything up until Nx

There is a project in the ecosystem that builds on top of MLIR and can target any MLIR dialect, but it is not mature enough yet. I think it would be great to see!

It should not be too hard! From what I saw Whisper is similar to Bart, and we have Bart. The missing piece is a library for audio processing to tensors.

No need to convert the format! Bumblebee supports loading parameters directly from PyTorch. You can just specify `{:local, path/to/checkpoint}` in `Bumblebee.load_model`

We are all really into bumblebees, specifically the kind that can transform into 1977 Yellow Camaros

It’s a pleasant surprise to see this shared here, I am the author of this piece. Honestly I wrote this post for myself more than anything else. I also find that my knowledge in a l…

We’re working on a way to import and export models from other formats just by reading the graph into our model representation.

Maybe ;)