在gensim python中使用谷歌word2vec .bin文件

我試圖從word2vec站點（freebase-vectors-skipgram1000.bin.gz）將pretrained .bin文件加載到word2vec的gensim實現中。該模型加載罰款，在gensim python中使用谷歌word2vec .bin文件

使用..

model = word2vec.Word2Vec.load_word2vec_format('...../free....-en.bin', binary= True)

，並創建一個

>>> print model 
<gensim.models.word2vec.Word2Vec object at 0x105d87f50>

但是當我運行最相似的功能。它無法找到詞彙中的單詞。我的錯誤代碼如下。

任何想法我錯了嗎？

>>> model.most_similar(['girl', 'father'], ['boy'], topn=3) 
2013-10-11 10:22:00,562 : WARNING : word ‘girl’ not in vocabulary; ignoring it 
2013-10-11 10:22:00,562 : WARNING : word ‘father’ not in vocabulary; ignoring it 
2013-10-11 10:22:00,563 : WARNING : word ‘boy’ not in vocabulary; ignoring it 
Traceback (most recent call last): 
File 「」, line 1, in 
File 「/....../anaconda/python.app/Contents/lib/python2.7/site-packages/gensim-0.8.7/py2.7.egg/gensim/models/word2vec.py」, line 312, in most_similar 
raise ValueError(「cannot compute similarity with no input」) 
ValueError: cannot compute similarity with no input

來源

2013-10-11 user2870492