freebase vector file in python gensim

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What steps will reproduce the problem?
1. Load freebase.bin files into a word2vec model on freebase
2. attempy .most_similar function 
3. error returned

What is the expected output? What do you see instead?
see beloe

What version of the product are you using? On what operating system?
mac osx anaconda python

Please provide any additional information below.

I’m trying to get started by loading the pretrained .bin files from the 
google word2vec site ( freebase-vectors-skipgram1000.bin.gz) into the gensim 
implementation of word2vec. The model loads fine,

using ..

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

>>> print model
<gensim.models.word2vec.Word2Vec object at 0x105d87f50>
but when I run the most similar function. It cant find the words in the 
vocabulary. My error code is below.

Any ideas where I’m going wrong?

>>> 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

any ideas welcome?

Original issue reported on code.google.com by [email protected] on 11 Oct 2013 at 3:41