Importing a model file trained elsewhere to be saved and then deployed within Gradient is very straight forward.
Just create an experiment that uploads or reads in the desired model file, specifying the appropriate
--modelType value, (e.g.
Tensorflow) and a
--modelPath location (example
"/artifacts") within the experiment. The model will be automatically parsed by Gradient and made available in your Model List for 1-click model deployment.