使用most_similar()函数即可，代码如下：

from gensim.models import Word2Vec


word_model = Word2Vec.load('wiki_word2vec_model') # 导入模型
word_model.wv.most_similar(['word','proverb']) # 这个list里可以输入多个词

返回结果：

[('phrase', 0.7695871591567993),
 ('verse', 0.6313120126724243),
 ('quotation', 0.6233633160591125),
 ('idiom', 0.6210076212882996),
 ('aphorism', 0.5964066386222839),
 ('literal', 0.5599628686904907),
 ('rhyme', 0.5577985048294067),
 ('phraseology', 0.5565248131752014),
 ('paraphrase', 0.5559581518173218),
 ('simile', 0.5532975792884827)]