mirror of
https://github.com/explosion/spaCy.git
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52 lines
1.6 KiB
Python
52 lines
1.6 KiB
Python
from typing import Union, Iterable, Dict, Any
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from pathlib import Path
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import warnings
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import sys
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warnings.filterwarnings("ignore", message="numpy.dtype size changed") # noqa
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warnings.filterwarnings("ignore", message="numpy.ufunc size changed") # noqa
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# These are imported as part of the API
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from thinc.api import prefer_gpu, require_gpu # noqa: F401
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from thinc.api import Config
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from . import pipeline # noqa: F401
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from .cli.info import info # noqa: F401
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from .glossary import explain # noqa: F401
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from .about import __version__ # noqa: F401
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from .util import registry, logger # noqa: F401
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from .errors import Errors
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from .language import Language
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from . import util
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if sys.maxunicode == 65535:
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raise SystemError(Errors.E130)
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def load(
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name: Union[str, Path],
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disable: Iterable[str] = tuple(),
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config: Union[Dict[str, Any], Config] = util.SimpleFrozenDict(),
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) -> Language:
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"""Load a spaCy model from an installed package or a local path.
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name (str): Package name or model path.
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disable (Iterable[str]): Names of pipeline components to disable.
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config (Dict[str, Any] / Config): Config overrides as nested dict or dict
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keyed by section values in dot notation.
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RETURNS (Language): The loaded nlp object.
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"""
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return util.load_model(name, disable=disable, config=config)
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def blank(name: str, **overrides) -> Language:
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"""Create a blank nlp object for a given language code.
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name (str): The language code, e.g. "en".
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**overrides: Keyword arguments passed to language subclass on init.
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RETURNS (Language): The nlp object.
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"""
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LangClass = util.get_lang_class(name)
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return LangClass(**overrides)
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