Algorithms inherently supporting multilabel classification

Question

In the documentation of sklearn, it says that several algorithms inherentrly support multilabel classification, such as RandomForest or MLP : https://scikit-learn.org/stable/modules/multiclass.html

Does it come from the implementation or the structure of the models? Moreover, how does it works for these algorithm? Is is a One-vs-the-Rest strategy or something else?

Thanks.