[Question/Request] Is it possible to make the framework back-end agnostic?

[juliobguedes]

Is your feature request related to a problem? Please describe.
Currently, we have an interesting variety of possible back-ends for mathematical processing. However, to minimize the differences and allow a quick transition between them, frameworks like Ivy are growing and allowing users/developers/researchers/etc to implement their models through an agnostic interface and execute them in any back-end they want. This solution would also make PyTorch not a mandatory dependency for the project, and we would be able to install ClayRS along a specific back-end with commands like pip install clayrs[tf] or pip install clayrs[torch] - which also complies with HuggingFace, for instance.

Describe the solution you'd like
Something like this would be interesting if I have more than one backend available:

from clayrs.backend import use_tensorflow
use_tensorflow()

If there is only one backend available, use it as default with an info/warning message in the first usage.

Additional context
Filling this issue while attending Marco Polignano's lecture at RecSys Summer School 2023 :)