Hi,
No you can't. This limit is useful to avoid Ram memory error when you train models.
I suggest you instead to use "hashing" encoding.
A sparse matrix will be build. Notice that in scikit-learn only some algorithms allow sparse matrix.
To do it easily, you can sort your features by types, select all your categorical features and click Hashing instead of Dummy-encode.
Matt
Mattsco