Gensim: Wie man vortrained doc2vec Modell lädt?

Question

Ich versuche, meine vortrainierter doc2vec Modell zu lesen:

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

scheint jedoch ein Fehler während des Prozesses zu lesen. Könnte jemand vorschlagen, wie man damit umgeht? Hier ist der Fehler:

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' 

Answer 1

Wie in den Kommentaren zu der Frage erwähnt, war dies wahrscheinlich auf ein Problem in Gensim, das in Version 0.13.4 behoben wurde.