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Question: Does anyone know of a library for loading models/weights from a registry of some sort?

• nl 10y ago
  Yes - pretty much every Deep Learning library. Caffe, Torch, Theano, TensorFlow etc (that's kinda what this link is about?) Just use Keras on top of TensorFlow as shown at this link.
  • 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 ago
      That'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 ago
        Heh :). 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.
• elyase 10y ago
  You mean something like this: https://github.com/spacy-io/sputnik https://github.com/spacy-io/sputnik ?