文件GoogleNews-vectors-negative300.bin包含3亿个单词向量。我想(不确定)这个文件是在写下一行时加载的：from gensim.models.keyedvectors import KeyedVectors

我想下载我在一个名为words的列表中给出的单词的向量。这是我的代码：

^{pr2}$

但当我运行代码时，它会冻结我的系统。是因为它在搜索words中的单词之前加载了整个二进制文件？如果是，我如何避开这个问题？当我收到以下警告时，我想到了这一点，这就是为什么我使用warning包来抑制它：c:\Python35\lib\site-packages\gensim\utils.py:860: UserWarning: detected Windows; aliasing chunkize to chunkize_serial

warnings.warn("detected Windows; aliasing chunkize to chunkize_serial")

它给出的误差是：Traceback (most recent call last):

File "word2vec.py", line 18, in

model = gensim.models.KeyedVectors.load_word2vec_format(topic, binary=True)

File "c:\Python35\lib\site-packages\gensim\models\keyedvectors.py", line 196, in load_word2vec_format

with utils.smart_open(fname) as fin:

File "c:\Python35\lib\site-packages\smart_open\smart_open_lib.py", line 208, in smart_open

raise TypeError('don\'t know how to handle uri %s' % repr(uri))

TypeError: don't know how to handle uri [['access'], ['aeroway'], ['airport'], ['amenity'], ['area'], ['atm'], ['barrier'], ['bay'], ['bench'], ['boundary'], ['bridge'], ['building'], ['bus'], ['cafe'], ['car'], ['coast'], ['continue'], ['created'], ['defibrillator'], ['drinking'], ['ele'], ['embankment'], ['entrance'], ['ferry'], ['foot'], ['fountain'], ['fuel'], ['gate'], ['golf'], ['gps'], ['grave'], ['highway'], ['horse'], ['hospital'], ['house'], ['landuse'], ['layer'], ['leisure'], ['man'], ['manmade'], ['market'], ['marketplace'], ['maxheight'], ['name'], ['natural'], ['noexit'], ['oneway'], ['park'], ['parking'], ['pgs'], ['place'], ['worship'], ['playground'], ['police'], ['police station'], [''], ['post'], ['post box or mail'], ['power'], ['powerstation'], ['private'], ['public'], ['railway'], ['ref'], ['residential'], ['restaurant'], ['road'], ['route'], ['school'], ['shelter'], ['shop'], ['source'], ['sport'], ['toilet'], ['toilets'], ['tourism'], ['unknown'], ['vehicle'], ['vending'], ['vending machine'], ['village'], ['wall'], ['waste'], ['water'], ['waterway'], ['worship']]

我猜这意味着程序无法在二进制文件中搜索单词。那么，如何解决呢？在