I am playing around with FastText, https://pypi.python.org/pypi/fasttext,which is quite similar to Word2Vec. Since it seems to be a pretty new library
FastText
Word2Vec
You should use gensim to load the model.vec and then get similar words:
model.vec
m = gensim.models.Word2Vec.load_word2vec_format('model.vec') m.most_similar(...)