gensim报错AttributeError: type object ‘Word2Vec‘ has no attribute ‘load_word2vec_format‘

解决gensim报错AttributeError: type object ‘Word2Vec‘ has no attribute ‘load_word2vec_format‘

将

import gensim

# Load Google's pre-trained Word2Vec model.
model = gensim.models.Word2Vec.load_word2vec_format('./model/GoogleNews-vectors-negative300.bin', binary=True) 

替换为

from gensim.models import KeyedVectors

# Load Google's pre-trained Word2Vec model.
model = KeyedVectors.load_word2vec_format('GoogleNews-vectors-negative300.bin', binary=True)

主要是word2Vec替换为KeyedVectors

测试

# 词向量
# 数组中的每个浮点数表示向量的一个维度
print(model['phone'])

成功显示出其词向量