Hi SoggyFrog26 welcome to ClearML!

The way you found definitely works very well, especially since you can use it to change the input model from the UI in case you use the task as a template for orchestrated inference.

Note that you can wrap metadata around the model as well such as labels trained on and network structure, you can also use a model package to ... well package whatever you need with the model. If you want a concrete example I think we need a little more detail here on the framework, usecase etc.
See e.g., the model upload example
https://allegro.ai/clearml/docs/docs/examples/frameworks/pytorch/manual_model_upload.html