1. You can download the model files (Pytorch versions) and use them just like you would any other saved model. For example, if you save the model to a directory with the name bert_model, you can load the model like this;
    model = ClassificationModel(“bert”, “bert_model”)
    Helpful info for downloading models
  2. The discriminator model is used for any downstream task. The generator is typically only used when training the language model itself.
  3. I’m not sure I understand this one. Do you mean that you have a set of root_causes and a set of actions, where each root_cause needs to be mapped to te correct action?

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