MisconfigurationException: Trainer(strategy='ddp') is not compatible with an interactive environment.

[RasmusOrsoe]

Describe the bug
Default distribution strategy of Trainer in Model is ddp which is incompatible with notebook environments. We can set the distribution strategy using configs for Model.fit(), but not for Model.Predict(). Therefore, fresh models that have state dicts loaded into them won't run in notebooks as they default to ddp.

To Reproduce
Steps to reproduce the behavior:
Follow steps in #403 but in notebook.

Expected behavior
We should have control over this argument for Model.predict too.

Full traceback
Please include the full error message to allow for debugging

MisconfigurationException: `Trainer(strategy='ddp')` is not compatible with an interactive environment. Run your code as a script, or choose one of the compatible strategies: `Fabric(strategy=None|'dp'|'ddp_notebook')`. In case you are spawning processes yourself, make sure to include the Trainer creation inside the worker function.