Thanks. And really… thanks to the community and help here.
The general instructions on Github and the video tutorial got me pretty close, but it was the helpful replies here about various details that got me to my first
So it occurred to me after redoing it a few times, that taking those extra details, that you can find in various threads here and there, and putting them into a more detailed A-Z instructions might be useful to others as it has been to me.
The current vast.ai is mostly done (for review, edits, corrections…)
Just retraining the same data source the other way (I think maybe just removing /run/source and /run/target might be enough…, or everything other than /run/cache to avoid re-downloading) and then what to do with your fancy new argosdata and model afterwards:
I wrote a small python script for myself that installs all
.argosmodel files in the current directory to argostranslate which then makes it available for local libretranslate server (note: run as same user libretranslate server is running as, restart server)
then… idk. Post here your new translation
argosmodel links? Submit to github?
I really need to “borrow” the play PC back from the kids to write non-Vast.ai instructions. Work PC is fine - for work - it just doesn’t have the GPU requirements to finish the job.
Further down the line… the argos-train-init expects/assumes apt based system. Perhaps instructions and/or alternative init scripts? Like a lot of C builds have *nix, mac, win instructions and/or build files. So like a
argos-train-rpm-init and some other recent Linux dist I tried out had something different… wasn’t apt or rpm… Forget. A bit more raw like Debian vs Ubuntu…