我正在尝试再次使用 Spacy 库来完成我的 NPL 任务。有一天，它与 spacy.load("en_core_web_sm") 一起工作得很好。我想过使用中号而不是小号，但现在没有任何效果。我尝试使用从最新版本（3.6.1）到较旧版本（3.2.0）的 spacy 版本。我能够安装 SpaCy 3.2.0 并且也可以下载 (!python -m spacy download en_core_web_md) 中型管道，但是在加载时出现“TypeError”错误。 （我尝试了小型和中型，并得到了相同的错误）。我会感谢你的帮助。预先感谢！！
!pip install spacy==3.2.0
!python -m spacy download en_core_web_md
import spacy
from pydantic import BaseModel
import spacy
nlp = spacy.load("en_core_web_md")TypeError Traceback (most recent call last)
<ipython-input-2-8bdf9ac04f54> in <module>
1 # Initialize SpaCy model
----> 2 nlp = spacy.load("en_core_web_md")
~\Anaconda3\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\lib\site-packages\spacy\util.py in load_model(name, vocab, disable, exclude, config)
418 return get_lang_class(name.replace("blank:", ""))()
419 if is_package(name): # installed as package
--> 420 return load_model_from_package(name, **kwargs) # type: ignore[arg-type]
421 if Path(name).exists(): # path to model data directory
422 return load_model_from_path(Path(name), **kwargs) # type: ignore[arg-type]
~\Anaconda3\lib\site-packages\spacy\util.py in load_model_from_package(name, vocab, disable, exclude, config)
451 """
452 cls = importlib.import_module(name)
--> 453 return cls.load(vocab=vocab, disable=disable, exclude=exclude, config=config) # type: ignore[attr-defined]
454
455
~\Anaconda3\lib\site-packages\en_core_web_md\__init__.py in load(**overrides)
8
9 def load(**overrides):
---> 10 return load_model_from_init_py(__file__, **overrides)
~\Anaconda3\lib\site-packages\spacy\util.py in load_model_from_init_py(init_file, vocab, disable, exclude, config)
613 if not model_path.exists():
614 raise IOError(Errors.E052.format(path=data_path))
--> 615 return load_model_from_path(
616 data_path,
617 vocab=vocab,
~\Anaconda3\lib\site-packages\spacy\util.py in load_model_from_path(model_path, meta, vocab, disable, exclude, config)
486 overrides = dict_to_dot(config)
487 config = load_config(config_path, overrides=overrides)
--> 488 nlp = load_model_from_config(config, vocab=vocab, disable=disable, exclude=exclude)
489 return nlp.from_disk(model_path, exclude=exclude, overrides=overrides)
490
~\Anaconda3\lib\site-packages\spacy\util.py in load_model_from_config(config, vocab, disable, exclude, auto_fill, validate)
523 # registry, including custom subclasses provided via entry points
524 lang_cls = get_lang_class(nlp_config["lang"])
--> 525 nlp = lang_cls.from_config(
526 config,
527 vocab=vocab,
~\Anaconda3\lib\site-packages\spacy\language.py in from_config(cls, config, vocab, disable, exclude, meta, auto_fill, validate)
1783 # The pipe name (key in the config) here is the unique name
1784 # of the component, not necessarily the factory
-> 1785 nlp.add_pipe(
1786 factory,
1787 name=pipe_name,
~\Anaconda3\lib\site-packages\spacy\language.py in add_pipe(self, factory_name, name, before, after, first, last, source, config, raw_config, validate)
786 lang_code=self.lang,
787 )
--> 788 pipe_component = self.create_pipe(
789 factory_name,
790 name=name,
~\Anaconda3\lib\site-packages\spacy\language.py in create_pipe(self, factory_name, name, config, raw_config, validate)
669 # We're calling the internal _fill here to avoid constructing the
670 # registered functions twice
--> 671 resolved = registry.resolve(cfg, validate=validate)
672 filled = registry.fill({"cfg": cfg[factory_name]}, validate=validate)["cfg"]
673 filled = Config(filled)
~\Anaconda3\lib\site-packages\thinc\config.py in resolve(cls, config, schema, overrides, validate)
744 validate: bool = True,
745 ) -> Dict[str, Any]:
--> 746 resolved, _ = cls._make(
747 config, schema=schema, overrides=overrides, validate=validate, resolve=True
748 )
~\Anaconda3\lib\site-packages\thinc\config.py in _make(cls, config, schema, overrides, resolve, validate)
793 if not is_interpolated:
794 config = Config(orig_config).interpolate()
--> 795 filled, _, resolved = cls._fill(
796 config, schema, validate=validate, overrides=overrides, resolve=resolve
797 )
~\Anaconda3\lib\site-packages\thinc\config.py in _fill(cls, config, schema, validate, resolve, parent, overrides)
848 schema.__fields__[key] = copy_model_field(field, Any)
849 promise_schema = cls.make_promise_schema(value, resolve=resolve)
--> 850 filled[key], validation[v_key], final[key] = cls._fill(
851 value,
852 promise_schema,
~\Anaconda3\lib\site-packages\thinc\config.py in _fill(cls, config, schema, validate, resolve, parent, overrides)
847 field = schema.__fields__[key]
848 schema.__fields__[key] = copy_model_field(field, Any)
--> 849 promise_schema = cls.make_promise_schema(value, resolve=resolve)
850 filled[key], validation[v_key], final[key] = cls._fill(
851 value,
~\Anaconda3\lib\site-packages\thinc\config.py in make_promise_schema(cls, obj, resolve)
1055 sig_args[name] = (annotation, default)
1056 sig_args["__config__"] = _PromiseSchemaConfig
-> 1057 return create_model("ArgModel", **sig_args)
1058
1059
~\Anaconda3\lib\site-packages\pydantic\main.cp38-win_amd64.pyd in pydantic.main.create_model()
~\Anaconda3\lib\site-packages\pydantic\main.cp38-win_amd64.pyd in pydantic.main.ModelMetaclass.__new__()
~\Anaconda3\lib\site-packages\pydantic\fields.cp38-win_amd64.pyd in pydantic.fields.ModelField.infer()
~\Anaconda3\lib\site-packages\pydantic\fields.cp38-win_amd64.pyd in pydantic.fields.ModelField.__init__()
~\Anaconda3\lib\site-packages\pydantic\fields.cp38-win_amd64.pyd in pydantic.fields.ModelField.prepare()
~\Anaconda3\lib\site-packages\pydantic\fields.cp38-win_amd64.pyd in pydantic.fields.ModelField._type_analysis()
~\Anaconda3\lib\typing.py in __subclasscheck__(self, cls)
772 if self._special:
773 if not isinstance(cls, _GenericAlias):
--> 774 return issubclass(cls, self.__origin__)
775 if cls._special:
776 return issubclass(cls.__origin__, self.__origin__)
**TypeError: issubclass() arg 1 must be a class**
您可以将以下内容添加到您的要求中：
typing-inspect==0.8.0
typing_extensions==4.5.0
Pydantic v1.10.7 及更早版本中似乎存在与最近发布的 Typing_extensions v4.6.0 相关的错误，该错误会导致 python 3.8 和 python 3.9 的 import spacy 和任何其他 spacy 命令出现错误
对于 spacy v3.2 和 v3.3，我们已经发布了补丁版本，修复了 Typing_extension 要求。升级到spacy v3.2.6+或v3.3.3
python -m pip install 'spacy~=3.2.6'
Pydantic 应为 v1.10.8 或更高版本
以下是此链接中的完整解决方案：