model = gensim.models.Word2Vec.load_word2vec_format(
    'GoogleNews-vectors-negative300.bin', binary=True)
model.most_similar(positive=['good', 'sad'], negative=['bad'])
[('wonderful', 0.6414928436279297), ('happy', 0.6154338121414185), (
    'great', 0.5803680419921875), ('nice', 0.5683973431587219), (
    'saddening', 0.5588893294334412), ('bittersweet', 0.5544661283493042),
    ('glad', 0.5512036681175232), ('fantastic', 0.5471092462539673), (
    'proud', 0.530515193939209), ('saddened', 0.5293528437614441)]
Как получить антонимы через word2vec?