Is it possible to run on apple m1 devices or mobile phones or not yet?
Re:Llama.cpp: Full CUDA GPU Acceleration
by raihansaputra on Tuesday June 13, 2023 @01:08AM
(#36305679)
yeah the whisper.cpp github page has a demo for both. Have used it on my M1 MBA for the past few months.
I can recommend the MacWhisper app if you prefer a gui.
And Whisper Memos for iOS https://whispermemos.com/
The really nice part of Whisper is being able to use it offline and on-device, it seems whisper memos is uploading your audio and notes to a server of unknown security, confidentiality etc.
I like Aiko for on-device transcription both in macOS and iOS https://apps.apple.com/us/app/aiko/id1672085276
Whisper Memos uses OpenAI API. The upside is that it uses the largest model - that would take 2GB on your iPhone.
Re:Llama.cpp: Full CUDA GPU Acceleration
by nitinreddy88 on Tuesday June 13, 2023 @02:19AM
(#36306236)
is there any dummy guide to get started with any of these?
Have you tried the Quick start in the https://github.com/ggerganov/whisper.cpp README?
Seconded. I were playing around for my native language (Polish) and the large models actually blew me away. For example, it handled "przescreenować" spelling correctly, which is an english word with a polish prefix and a conjugated suffix.
I have been playing around with whisper.cpp; it's nice because I can run the large model (quantized to 8-bits) at roughly real-time with cublas on a Ryzen 2700 with a 1050Ti. I couldn't even run the pytorch whisper medium on this card with X11 also running.
It blows me away that I can get real-time speech-to-text of this quality on a machine that is almost 5 years old.