Client
(replace the tokens and the experiment name by yours)model-latest
to be recognized as a trained-model file by Picsell.ia (see the documentation about namespace for more information)..pb
file and the variables
folder.zip
, the third argument to True
(which will compress your folder into a .zip file) because it's the format we need to run inference later using our engine.experiment
into a model
instance we added a step that we call publishing. We did that so you don't confuse the output of your experiments that might not be good with the experiment that contains your final assets.model-latest
') then if you go to your experiment in the platform you should see something like this.model
instance directly by using the Network
object of the SDK.Client
(use your own token) and then create a Network
model-latest
to be recognized as a trained-model file by Picsell.ia (see the documentation about namespace for more information)..pb
file and the variables
folder.zip
, the third argument to True
(which will compress your folder into a .zip file) because it's the format we need to run inference later using our engine.