spaCy 3.1, 3.2 models not supported

[BramVanroy]

I have tried to use this library with spaCy 3.1 and 3.2 models. The setup config says spacy>=3.1.0,<3.2.0 is supported, yet I get the ModelNotSupported error for both en_core_web_lg version 3.1.0 and en_core_web_trf version 3.1.0 models (both are installed). Coreferee en is also installed.

import coreferee
import spacy

nlp = spacy.load("en_core_web_lg")
nlp.add_pipe("coreferee")

Info about spaCy

• spaCy version: 3.1.4
• Platform: Windows-10-10.0.19041-SP0
• Python version: 3.8.8
• Pipelines: en_core_web_lg (3.1.0), en_core_web_trf (3.1.0)

Error trace

---------------------------------------------------------------------------
ModelNotSupportedError                    Traceback (most recent call last)
Input In [2], in <module>
      3 import spacy
      5 nlp = spacy.load("en_core_web_lg")
----> 6 nlp.add_pipe("coreferee")

File ~\.virtualenvs\lecontra-qSg6Vfcc\lib\site-packages\spacy\language.py:787, in Language.add_pipe(self, factory_name, name, before, after, first, last, source, config, raw_config, validate)
    779     if not self.has_factory(factory_name):
    780         err = Errors.E002.format(
    781             name=factory_name,
    782             opts=", ".join(self.factory_names),
   (...)
    785             lang_code=self.lang,
    786         )
--> 787     pipe_component = self.create_pipe(
    788         factory_name,
    789         name=name,
    790         config=config,
    791         raw_config=raw_config,
    792         validate=validate,
    793     )
    794 pipe_index = self._get_pipe_index(before, after, first, last)
    795 self._pipe_meta[name] = self.get_factory_meta(factory_name)

File ~\.virtualenvs\lecontra-qSg6Vfcc\lib\site-packages\spacy\language.py:670, in Language.create_pipe(self, factory_name, name, config, raw_config, validate)
    667 cfg = {factory_name: config}
    668 # We're calling the internal _fill here to avoid constructing the
    669 # registered functions twice
--> 670 resolved = registry.resolve(cfg, validate=validate)
    671 filled = registry.fill({"cfg": cfg[factory_name]}, validate=validate)["cfg"]
    672 filled = Config(filled)

File ~\.virtualenvs\lecontra-qSg6Vfcc\lib\site-packages\thinc\config.py:729, in registry.resolve(cls, config, schema, overrides, validate)
    720 @classmethod
    721 def resolve(
    722     cls,
   (...)
    727     validate: bool = True,
    728 ) -> Dict[str, Any]:
--> 729     resolved, _ = cls._make(
    730         config, schema=schema, overrides=overrides, validate=validate, resolve=True
    731     )
    732     return resolved

File ~\.virtualenvs\lecontra-qSg6Vfcc\lib\site-packages\thinc\config.py:778, in registry._make(cls, config, schema, overrides, resolve, validate)
    776 if not is_interpolated:
    777     config = Config(orig_config).interpolate()
--> 778 filled, _, resolved = cls._fill(
    779     config, schema, validate=validate, overrides=overrides, resolve=resolve
    780 )
    781 filled = Config(filled, section_order=section_order)
    782 # Check that overrides didn't include invalid properties not in config

File ~\.virtualenvs\lecontra-qSg6Vfcc\lib\site-packages\thinc\config.py:850, in registry._fill(cls, config, schema, validate, resolve, parent, overrides)
    847     getter = cls.get(reg_name, func_name)
    848     # We don't want to try/except this and raise our own error
    849     # here, because we want the traceback if the function fails.
--> 850     getter_result = getter(*args, **kwargs)
    851 else:
    852     # We're not resolving and calling the function, so replace
    853     # the getter_result with a Promise class
    854     getter_result = Promise(
    855         registry=reg_name, name=func_name, args=args, kwargs=kwargs
    856     )

File ~\.virtualenvs\lecontra-qSg6Vfcc\lib\site-packages\coreferee\manager.py:103, in CorefereeBroker.__init__(self, nlp, name)
    101 self.nlp = nlp
    102 self.pid = os.getpid()
--> 103 self.annotator = CorefereeManager().get_annotator(nlp)

File ~\.virtualenvs\lecontra-qSg6Vfcc\lib\site-packages\coreferee\manager.py:95, in CorefereeManager.get_annotator(nlp)
     93         keras_ensemble = keras.models.load_model(absolute_keras_model_filename)
     94         return Annotator(nlp, vectors_nlp, feature_table, keras_ensemble)
---> 95 raise ModelNotSupportedError(''.join((nlp.meta['lang'], '_', nlp.meta['name'],
     96     ' version ', nlp.meta['version'])))

ModelNotSupportedError: en_core_web_lg version 3.1.0

[slavaGanzin]

@BramVanroy Hi

pip install --upgrade --ignore-installed  spacy==3.1.4   
python -m spacy download en_core_web_md  
python3 -m coreferee install en

worked for me, try yourself

[twielfaert]

The latest version (1.1.2) of coreferee requires Python >= 3.9 and at first glance, this seems to work fine with the spacy 3.1 models.

[richardpaulhudson]

Closing as no further answer received. The upcoming version Coreferee will support spaCy versions 3.1, 3.2 and 3.3.