如自指南所述,我已经使用(conda环境)进行了安装。
conda install -c conda-forge spacy
python -m spacy download en_core_web_trf
我已经安装了
spacy-transformers
,但是当我简单地执行以下操作时:import spacy
spacy.load("en_core_web_trf")
它向我显示了这个错误:
ValueError: [E002] Can't find factory for 'transformer' 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, parser, beam_parser, entity_linker, ner, beam_ner, entity_ruler, lemmatizer, tagger, morphologizer, senter, sentencizer, textcat, spancat, textcat_multilabel, en.lemmatizer
更多关于错误的信息:
ValueError Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_11108/2648447056.py in <module>
----> 1 nlp_en = spacy.load("en_core_web_trf")
~\Anaconda3\envs\rl\lib\site-packages\spacy\__init__.py in load(name, vocab, disable, exclude, config)
49 RETURNS (Language): The loaded nlp object.
50 """
---> 51 return util.load_model(
52 name, vocab=vocab, disable=disable, exclude=exclude, config=config
53 )
~\Anaconda3\envs\rl\lib\site-packages\spacy\util.py in load_model(name, vocab, disable, exclude, config)
345 return get_lang_class(name.replace("blank:", ""))()
346 if is_package(name): # installed as package
--> 347 return load_model_from_package(name, **kwargs)
348 if Path(name).exists(): # path to model data directory
349 return load_model_from_path(Path(name), **kwargs)
~\Anaconda3\envs\rl\lib\site-packages\spacy\util.py in load_model_from_package(name, vocab, disable, exclude, config)
378 """
379 cls = importlib.import_module(name)
--> 380 return cls.load(vocab=vocab, disable=disable, exclude=exclude, config=config)
381
382
~\Anaconda3\envs\rl\lib\site-packages\en_core_web_trf\__init__.py in load(**overrides)
8
9 def load(**overrides):
---> 10 return load_model_from_init_py(__file__, **overrides)
~\Anaconda3\envs\rl\lib\site-packages\spacy\util.py in load_model_from_init_py(init_file, vocab, disable, exclude, config)
538 if not model_path.exists():
539 raise IOError(Errors.E052.format(path=data_path))
--> 540 return load_model_from_path(
541 data_path,
542 vocab=vocab,
~\Anaconda3\envs\rl\lib\site-packages\spacy\util.py in load_model_from_path(model_path, meta, vocab, disable, exclude, config)
413 overrides = dict_to_dot(config)
414 config = load_config(config_path, overrides=overrides)
--> 415 nlp = load_model_from_config(config, vocab=vocab, disable=disable, exclude=exclude)
416 return nlp.from_disk(model_path, exclude=exclude, overrides=overrides)
417
~\Anaconda3\envs\rl\lib\site-packages\spacy\util.py in load_model_from_config(config, vocab, disable, exclude, auto_fill, validate)
450 # registry, including custom subclasses provided via entry points
451 lang_cls = get_lang_class(nlp_config["lang"])
--> 452 nlp = lang_cls.from_config(
453 config,
454 vocab=vocab,
~\Anaconda3\envs\rl\lib\site-packages\spacy\language.py in from_config(cls, config, vocab, disable, exclude, meta, auto_fill, validate)
1712 # The pipe name (key in the config) here is the unique name
1713 # of the component, not necessarily the factory
-> 1714 nlp.add_pipe(
1715 factory,
1716 name=pipe_name,
~\Anaconda3\envs\rl\lib\site-packages\spacy\language.py in add_pipe(self, factory_name, name, before, after, first, last, source, config, raw_config, validate)
774 lang_code=self.lang,
775 )
--> 776 pipe_component = self.create_pipe(
777 factory_name,
778 name=name,
~\Anaconda3\envs\rl\lib\site-packages\spacy\language.py in create_pipe(self, factory_name, name, config, raw_config, validate)
639 lang_code=self.lang,
640 )
--> 641 raise ValueError(err)
642 pipe_meta = self.get_factory_meta(factory_name)
643 # This is unideal, but the alternative would mean you always need to