Can't find factory for 'relation_extractor' for language English (en) #12957
Description
Hi Team, am not able to load the model, showing factory for 'relation_extractor' for language English (en) issue.
i'm using Jupyter notebook.
import spacy
nlp = spacy.load("rel_component/training/model-best")
nlp
ValueError Traceback (most recent call last)
Cell In[2], line 2
1 import spacy
----> 2 nlp = spacy.load("rel_component/training/model-best")
3 nlp
File ~\AppData\Local\anaconda3\lib\site-packages\spacy_init_.py:51, in load(name, vocab, disable, enable, exclude, config)
27 def load(
28 name: Union[str, Path],
29 *,
(...)
34 config: Union[Dict[str, Any], Config] = util.SimpleFrozenDict(),
35 ) -> Language:
36 """Load a spaCy model from an installed package or a local path.
37
38 name (str): Package name or model path.
(...)
49 RETURNS (Language): The loaded nlp object.
50 """
---> 51 return util.load_model(
52 name,
53 vocab=vocab,
54 disable=disable,
55 enable=enable,
56 exclude=exclude,
57 config=config,
58 )
File ~\AppData\Local\anaconda3\lib\site-packages\spacy\util.py:467, in load_model(name, vocab, disable, enable, exclude, config)
465 return load_model_from_package(name, **kwargs) # type: ignore[arg-type]
466 if Path(name).exists(): # path to model data directory
--> 467 return load_model_from_path(Path(name), **kwargs) # type: ignore[arg-type]
468 elif hasattr(name, "exists"): # Path or Path-like to model data
469 return load_model_from_path(name, **kwargs) # type: ignore[arg-type]
File ~\AppData\Local\anaconda3\lib\site-packages\spacy\util.py:539, in load_model_from_path(model_path, meta, vocab, disable, enable, exclude, config)
537 overrides = dict_to_dot(config, for_overrides=True)
538 config = load_config(config_path, overrides=overrides)
--> 539 nlp = load_model_from_config(
540 config,
541 vocab=vocab,
542 disable=disable,
543 enable=enable,
544 exclude=exclude,
545 meta=meta,
546 )
547 return nlp.from_disk(model_path, exclude=exclude, overrides=overrides)
File ~\AppData\Local\anaconda3\lib\site-packages\spacy\util.py:587, in load_model_from_config(config, meta, vocab, disable, enable, exclude, auto_fill, validate)
584 # This will automatically handle all codes registered via the languages
585 # registry, including custom subclasses provided via entry points
586 lang_cls = get_lang_class(nlp_config["lang"])
--> 587 nlp = lang_cls.from_config(
588 config,
589 vocab=vocab,
590 disable=disable,
591 enable=enable,
592 exclude=exclude,
593 auto_fill=auto_fill,
594 validate=validate,
595 meta=meta,
596 )
597 return nlp
File ~\AppData\Local\anaconda3\lib\site-packages\spacy\language.py:1847, in Language.from_config(cls, config, vocab, disable, enable, exclude, meta, auto_fill, validate)
1844 factory = pipe_cfg.pop("factory")
1845 # The pipe name (key in the config) here is the unique name
1846 # of the component, not necessarily the factory
-> 1847 nlp.add_pipe(
1848 factory,
1849 name=pipe_name,
1850 config=pipe_cfg,
1851 validate=validate,
1852 raw_config=raw_config,
1853 )
1854 else:
1855 assert "source" in pipe_cfg
File ~\AppData\Local\anaconda3\lib\site-packages\spacy\language.py:814, in Language.add_pipe(self, factory_name, name, before, after, first, last, source, config, raw_config, validate)
810 pipe_component, factory_name = self.create_pipe_from_source(
811 factory_name, source, name=name
812 )
813 else:
--> 814 pipe_component = self.create_pipe(
815 factory_name,
816 name=name,
817 config=config,
818 raw_config=raw_config,
819 validate=validate,
820 )
821 pipe_index = self._get_pipe_index(before, after, first, last)
822 self._pipe_meta[name] = self.get_factory_meta(factory_name)
File ~\AppData\Local\anaconda3\lib\site-packages\spacy\language.py:683, in Language.create_pipe(self, factory_name, name, config, raw_config, validate)
675 if not self.has_factory(factory_name):
676 err = Errors.E002.format(
677 name=factory_name,
678 opts=", ".join(self.factory_names),
(...)
681 lang_code=self.lang,
682 )
--> 683 raise ValueError(err)
684 pipe_meta = self.get_factory_meta(factory_name)
685 # This is unideal, but the alternative would mean you always need to
686 # specify the full config settings, which is not really viable.
ValueError: [E002] Can't find factory for 'relation_extractor' for language English (en). This usually happens when spaCy calls nlp.create_pipe with a custom component name that's not registered on the current language class. If you're using a Transformer, make sure to install 'spacy-transformers'. If you're using a custom component, make sure you've added the decorator @Language.component (for function components) or @Language.factory (for class components).
Available factories: attribute_ruler, tok2vec, merge_noun_chunks, merge_entities, merge_subtokens, token_splitter, doc_cleaner, parser, beam_parser, lemmatizer, trainable_lemmatizer, entity_linker, entity_ruler, tagger, morphologizer, ner, beam_ner, senter, sentencizer, spancat, spancat_singlelabel, span_finder, future_entity_ruler, span_ruler, textcat, textcat_multilabel, en.lemmatizer
Your Environment
- Operating System: Windows
- Python Version Used: 3.10
- spaCy Version Used:3.6.1
transformers : 4.20.1
en-core-web-lg: 3.3.0
en-core-web-trf : 3.6.1
en-pipeline : 0.0.0