Gensim:如何加载预训练的doc2vec模型?

时间:2016-12-28 10:58:22

标签: python model gensim word2vec doc2vec

我正在尝试阅读我预训练的doc2vec模型:

from gensim.models import Doc2Vec
model = Doc2Vec.load('/path/to/pretrained/model')

但是,在阅读过程中会出现错误。任何人都可以建议如何处理这个?这是错误:

AttributeErrorTraceback (most recent call last)
<ipython-input-9-819b254ac835> in <module>()
----> 1 model = Doc2Vec.load('/path/to/pretrained/model')

/opt/jupyter-notebook/.local/lib/python2.7/site-packages/gensim/models/word2vec.pyc in load(cls, *args, **kwargs)
   1682     @classmethod    
   1683     def load(cls, *args, **kwargs):
-> 1684         model = super(Word2Vec, cls).load(*args, **kwargs)
   1685         # update older models
   1686         if hasattr(model, 'table'):

/opt/jupyter-notebook/.local/lib/python2.7/site-packages/gensim/utils.pyc in load(cls, fname, mmap)
    246         compress, subname = SaveLoad._adapt_by_suffix(fname)
    247 
--> 248         obj = unpickle(fname)
    249         obj._load_specials(fname, mmap, compress, subname)
    250         return obj

/opt/jupyter-notebook/.local/lib/python2.7/site-packages/gensim/utils.pyc in unpickle(fname)
    909     with smart_open(fname) as f:
    910         # Because of loading from S3 load can't be used (missing readline in smart_open)
--> 911         return _pickle.loads(f.read())
    912 
    913 

AttributeError: 'module' object has no attribute 'defaultdict'

1 个答案:

答案 0 :(得分:0)

正如对该问题的评论所述,这可能与在0.13.4版本中修复的gensim问题有关。

相关问题