their bloom model was also a collaborative effort https://huggingface.co/docs/transformers/en/model_doc/bloom
https://github.com/Music-and-Culture-Technology-Lab/omnizart and https://basicpitch.spotify.com/
They work better if you apply some source separation before (e.g, https://github.com/sigsep/open-unmix-pytorch, https://github.com/facebookresearch/demucs, or https://mvsep.com)
Still, I think the best results are from proprietary models (specifically https://www.ableton.com/en/manual/converting-audio-to-midi/ and https://www.celemony.com/en/melodyne/what-is-melodyne)
I still have a few ideas there (including another secret approach at better text generation) but it's hard to determine ROI.
Not everyone is trying to replicate CHATGPT results for certain tasks.
- https://huggingface.co/EleutherAI/gpt-j-6B
- https://huggingface.co/t5-base
- https://huggingface.co/facebook/opt-66b
- https://huggingface.co/bigscience/bloomz-3b
There are also other companies offering large models as a service:
> GPT-3 Embeddings by @OpenAI was announced this week. I was excited and tested them on 20 datasets. Sadly they are worse than open models that are 1000 x smaller
https://twitter.com/Nils_Reimers/status/1487014195568775173
Get models here: https://sbert.net/docs/pretrained_models.html
There's also some open source projects out there, such as aubio [3] and Omnizart [4].
[1] https://www.ableton.com/en/manual/converting-audio-to-midi/
[2] https://www.celemony.com/en/melodyne/what-is-melodyne
[3] https://aubio.readthedocs.io/en/latest/cli.html#aubionotes
[4] https://music-and-culture-technology-lab.github.io/omnizart-...
Is it possible to screw a belt clip there? And I don't mean in a case, but physically attached to the back of the phone with screws?
Some Chinese work phones have that feature, and it's stupidly addictive to be able to clip your phone anywhere!
Battery life is pretty good; I charge it at night, and usually is half-battery. My usage is pretty decent, but mostly on wifi.