# Is it possible to use Jaccard similarity instead of Cosine similarity in gensim document similarity?

I am using gensim library to compute similarity between documents but it only uses cosine similarity. I was wondering if there was a way to use jaccard similarity or any other similarity measure for that matter instead

\$ model['computer'] # raw numpy vector of a word array([-0.00449447, -0.00310097, 0.02421786, ...], dtype=float32)