dr. Konya Sandor
dr. Konya Sandor
@tqchen my ultimate goal would be to get it run the most efficient way on android edge device. Although there is already a solution in the onnx framework [onnx framework](https://github.com/xenova/transformers.js/issues/100#issuecomment-1521661452),...
> There is also a demo of Whisper running via WebAssembly in that repo. https://github.com/ggerganov/whisper.cpp/tree/master/examples/talk.wasm Yes, it runs on CPU. I hope, that with a GPU version one could reach...
@niklaskorz any chance that you would look at this? That would give even a further kick to this project, (or did I miss anything relevant and it's been solved?)
I find this very interesting! Thank you for sharing. Would be nice to see how well it performs on vision tasks.
This is a pretty significant difference! Would love to see in action on HF ;)
@hashdaddyd with the image captions or without?
I would be interested in that too!
https://paperswithcode.com/dataset/rvl-cdip but also: https://huggingface.co/datasets/rvl_cdip
@DK013 & @xenova thank you for the clarification! I would like to find a way to utilize the GPUs on edge devices (Android mobile) for inference. As far i understand...
Hi there, just noticed this github repo, and like it much! I would warmly recommend using [cornerstone](https://cornerstonejs.org/) for the DICOM integration and the cornerstone tools for the GUI!