python - Gensim:事前トレーニング済みのdoc2vecモデルをロードする方法は?

Question

事前トレーニング済みの doc2vec モデルを読み込もうとしています:

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

ただし、読み取り処理中にエラーが表示されます。誰かがこれに対処する方法を提案できますか? エラーは次のとおりです。

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'