I am making (open) finetunes for malayalam and kannada (and bengali, gujarati, hebrew), and need someone to transcribe a few images for me. Could you contact me if you are interested in helping?
Amazing! I'd recommend using PaddlePaddle OCR models if you want to make your handwriting conversion local, it's definitely fast enough. Probably faster than the Sonnet call.
I tried the model on your handwriting and it worked great. My handwriting is bad enough that it doesn't work :)
Sounds great, but if you din't cave to apple/google (eg: graphene, lineage), models are not built-in. Every app needs to ship their own models, and they are not tiny.
Is there a solution for this?
I'm currently just making users download onnx models if they want a feature, but it's not smooth UX
How do you manage to finish things? After a while, for me, the novelty high wears out, and instead it becomes a wall.
Some project require something silly, like sending 1 email to be completed, and it becomes an impossible task
Niiiiiice, I've been working on something like this, but reducing linux boot time instead of snapshot restore time; obviously my solution doesn't work for heavy runtimes
That makes sense, I guess this was not a problem for the times I needed nolibc.
I do agree that trying to extract data/logic from linux is a pain -- I've tried a few times to extract some of the eBPF verifier handling, but end up pulling most of the kernel along.
Unikraft is cool, I still have it in my 'todo' list to play around with sometime.
Linking the app with the 'kernel' seems pretty nice, would be cool to see what that looks like for a virtio-only environment.
Just wanted to point out that the 150ms is not snapshot based, you can get <10ms for small vms (128MB ram, 2GB ram moves you to ~15ms range), for 'cold' boots.
You can contact me at [email protected]