spacy.load error

[rgstephens]

I'm trying out rasa for the first time with this project. The initial cells run fine until the spacy.load, print(spacy.load("en")("Hello world!"))

This returns a ValueError: 684830 exceeds max_map_len(32768) with a long stack trace:

rasa_nlu: 0.13.8 rasa_core: 0.9.6
Loading spaCy language model...
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-3-75b703537f93> in <module>
      5 print("rasa_nlu: {} rasa_core: {}".format(rasa_nlu.__version__, rasa_core.__version__))
      6 print("Loading spaCy language model...")
----> 7 print(spacy.load("en")("Hello world!"))

/usr/local/lib/python3.5/dist-packages/spacy/__init__.py in load(name, **overrides)
     13     if depr_path not in (True, False, None):
     14         deprecation_warning(Warnings.W001.format(path=depr_path))
---> 15     return util.load_model(name, **overrides)
     16 
     17 

/usr/local/lib/python3.5/dist-packages/spacy/util.py in load_model(name, **overrides)
    110     if isinstance(name, basestring_):  # in data dir / shortcut
    111         if name in set([d.name for d in data_path.iterdir()]):
--> 112             return load_model_from_link(name, **overrides)
    113         if is_package(name):  # installed as package
    114             return load_model_from_package(name, **overrides)

/usr/local/lib/python3.5/dist-packages/spacy/util.py in load_model_from_link(name, **overrides)
    127     except AttributeError:
    128         raise IOError(Errors.E051.format(name=name))
--> 129     return cls.load(**overrides)
    130 
    131 

/usr/local/lib/python3.5/dist-packages/spacy/data/en/__init__.py in load(**overrides)
     10 
     11 def load(**overrides):
---> 12     return load_model_from_init_py(__file__, **overrides)

/usr/local/lib/python3.5/dist-packages/spacy/util.py in load_model_from_init_py(init_file, **overrides)
    171     if not model_path.exists():
    172         raise IOError(Errors.E052.format(path=path2str(data_path)))
--> 173     return load_model_from_path(data_path, meta, **overrides)
    174 
    175 

/usr/local/lib/python3.5/dist-packages/spacy/util.py in load_model_from_path(model_path, meta, **overrides)
    154             component = nlp.create_pipe(name, config=config)
    155             nlp.add_pipe(component, name=name)
--> 156     return nlp.from_disk(model_path)
    157 
    158 

/usr/local/lib/python3.5/dist-packages/spacy/language.py in from_disk(self, path, disable)
    651         if not (path / 'vocab').exists():
    652             exclude['vocab'] = True
--> 653         util.from_disk(path, deserializers, exclude)
    654         self._path = path
    655         return self

/usr/local/lib/python3.5/dist-packages/spacy/util.py in from_disk(path, readers, exclude)
    509     for key, reader in readers.items():
    510         if key not in exclude:
--> 511             reader(path / key)
    512     return path
    513 

/usr/local/lib/python3.5/dist-packages/spacy/language.py in <lambda>(p)
    639             ('meta.json', lambda p: self.meta.update(util.read_json(p))),
    640             ('vocab', lambda p: (
--> 641                 self.vocab.from_disk(p) and _fix_pretrained_vectors_name(self))),
    642             ('tokenizer', lambda p: self.tokenizer.from_disk(p, vocab=False)),
    643         ))

vocab.pyx in spacy.vocab.Vocab.from_disk()

vectors.pyx in spacy.vectors.Vectors.from_disk()

/usr/local/lib/python3.5/dist-packages/spacy/util.py in from_disk(path, readers, exclude)
    509     for key, reader in readers.items():
    510         if key not in exclude:
--> 511             reader(path / key)
    512     return path
    513 

vectors.pyx in spacy.vectors.Vectors.from_disk.load_key2row()

vectors.pyx in spacy.vectors.Vectors.from_disk.load_key2row()

/usr/local/lib/python3.5/dist-packages/msgpack_numpy.py in unpack(stream, **kwargs)
    203     object_hook = kwargs.get('object_hook')
    204     kwargs['object_hook'] = functools.partial(decode, chain=object_hook)
--> 205     return _unpack(stream, **kwargs)
    206 
    207 def unpackb(packed, **kwargs):

/usr/local/lib/python3.5/dist-packages/msgpack/__init__.py in unpack(stream, **kwargs)
     55     """
     56     data = stream.read()
---> 57     return unpackb(data, **kwargs)
     58 
     59 

/usr/local/lib/python3.5/dist-packages/msgpack_numpy.py in unpackb(packed, **kwargs)
    212     object_hook = kwargs.get('object_hook')
    213     kwargs['object_hook'] = functools.partial(decode, chain=object_hook)
--> 214     return _unpackb(packed, **kwargs)
    215 
    216 load = unpack

msgpack/_unpacker.pyx in msgpack._cmsgpack.unpackb()

ValueError: 684830 exceeds max_map_len(32768)