4 ms·
Well, this is fairly manual. More like: my_model = registry.get("tensorflow://github.com/asdf/models/imagine/latest") ... my_model.push("...")
by chris_va 10y ago
Well, this is fairly manual. More like:
my_model = registry.get("tensorflow://github.com/asdf/models/imagine/latest")
...
my_model.push("...")
- nl 10y agoThat's hundreds and hundreds of MBs you are downloading. It should never change, so it hardly seems a critical piece of functionality. I guess someone could build it, sort of like the datasets you can download in SciKit or R, or the trained models in NLTK/Spacy. In-fact I've almost come the full circle on this and think it might be a good idea. Weird - I didn't think people on the internet could change their mind.
- chris_va 10y agoHeh :). I was thinking that the current "best" model/architecture may change fairly frequently. Obviously you wouldn't want to download 100MB every time the application starts, but maybe amortized every time there is a significant jump would be good. Anyway, I haven't seen anything like this, so was curious.