Run the following command:
import frogml repository = "<REPO_NAME>" name = "<MODEL_NAME>" version = "<MODEL_VERSION>" model = frogml.pytorch.load_model( repository=repository, model_name=name, version=version, )
Where:
<REPO_NAME>: The name of the Artifactory repository where the model is stored<MODEL_NAME>: The unique name of the model you want to download<MODEL_VERSION>: The version number of the model you want to load
For example:
import frogml repository = "ml-local" name = "sales-lead-classifier" version = "1.2.0" model = frogml.pytorch.load_model( repository=repository, model_name=name, version=version, )