Does this support using the Parakeet model locally? I'm a MacWhisper user and I find that Parakeet is way better and faster than Whisper for on-device transcription. I've been using push-to-transcribe with MacWhisper through Parakeet for a while now and it's quite magical.
Not yet, but I want it too! Parakeet looks incredible (saw that leaderboard result). My current roadmap is: finish stabilizing whisper.cpp integration, then add Parakeet support. If anyone has bandwidth to PR the connector, I’d be thrilled to merge it.
Unfortunately, because it's Nvidia, parakeet doesn't work with Whisper.cpp as far as I'm aware. You need onnx
Some lovely folks have left some other open-source projects that implement Parakeet. I would recommend checking those out! I'll also work on my own implementation in the meantime :D
Parakeet is amazing - 3000x real-time on an A100 and 5x real-time even on a laptop CPU, while being more accurate than whisper-large-v3 (https://huggingface.co/spaces/hf-audio/open_asr_leaderboard). NeMo is a little awkward though; I'm amazed it runs locally on Mac (for MacWhisper).
Yeah, Parakeet runs great locally on my M1 laptop (through MacWhisper). Transcription speed of recordings feel at least 10x faster than Whisper, and the accuracy is better as well. Push to talk for dictation is pretty seamless since the model is so fast. I've observed no downside to Parakeet if you're speaking English.
Parakeet v3 supports many more languages. Works great with MacWhisper.
A bit tangential statement, about parakeet and other Nvidia Nemo models, i never found actual architecture implementations as pytorch/tf code, seems like all such models, are instant-ized from a binary blob making it difficult to experiment! Maybe i missed something, does anyone here have more experience with .nemo models to shed some more light onto this?
+1 for MacWhisper. Very full featured, nice that it's a one time purchase, and the developer is constantly improving it.
seems like "not yet" is the answer from other comments