import zipfile
model_url = 'http://vectors.nlpl.eu/repository/20/180.zip'
m = wget.download(model_url)
model_file = model_url.split('/')[-1]
with zipfile.ZipFile(model_file, 'r') as archive:
    stream = archive.open('model.bin')
    model = gensim.models.KeyedVectors.load_word2vec_format(stream, binary=True)
