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https://github.com/explosion/spaCy.git
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Allow string argument for disable/enable/exclude (#11406)
* adding unit test for spacy.load with disable/exclude string arg * allow pure strings in from_config * update docs * upstream type adjustements * docs update * make docstring more consistent * Update spacy/language.py Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com> * two more cleanups * fix type in internal method Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
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@ -31,21 +31,21 @@ def load(
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name: Union[str, Path],
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*,
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vocab: Union[Vocab, bool] = True,
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disable: Iterable[str] = util.SimpleFrozenList(),
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enable: Iterable[str] = util.SimpleFrozenList(),
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exclude: Iterable[str] = util.SimpleFrozenList(),
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disable: Union[str, Iterable[str]] = util.SimpleFrozenList(),
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enable: Union[str, Iterable[str]] = util.SimpleFrozenList(),
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exclude: Union[str, Iterable[str]] = util.SimpleFrozenList(),
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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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vocab (Vocab): A Vocab object. If True, a vocab is created.
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disable (Iterable[str]): Names of pipeline components to disable. Disabled
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disable (Union[str, Iterable[str]]): Name(s) of pipeline component(s) to disable. Disabled
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pipes will be loaded but they won't be run unless you explicitly
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enable them by calling nlp.enable_pipe.
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enable (Iterable[str]): Names of pipeline components to enable. All other
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enable (Union[str, Iterable[str]]): Name(s) of pipeline component(s) to enable. All other
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pipes will be disabled (but can be enabled later using nlp.enable_pipe).
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exclude (Iterable[str]): Names of pipeline components to exclude. Excluded
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exclude (Union[str, Iterable[str]]): Name(s) of pipeline component(s) to exclude. Excluded
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components won't be loaded.
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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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@ -1063,7 +1063,7 @@ class Language:
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"""
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if enable is None and disable is None:
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raise ValueError(Errors.E991)
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if disable is not None and isinstance(disable, str):
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if isinstance(disable, str):
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disable = [disable]
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if enable is not None:
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if isinstance(enable, str):
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@ -1698,9 +1698,9 @@ class Language:
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config: Union[Dict[str, Any], Config] = {},
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*,
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vocab: Union[Vocab, bool] = True,
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disable: Iterable[str] = SimpleFrozenList(),
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enable: Iterable[str] = SimpleFrozenList(),
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exclude: Iterable[str] = SimpleFrozenList(),
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disable: Union[str, Iterable[str]] = SimpleFrozenList(),
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enable: Union[str, Iterable[str]] = SimpleFrozenList(),
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exclude: Union[str, Iterable[str]] = SimpleFrozenList(),
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meta: Dict[str, Any] = SimpleFrozenDict(),
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auto_fill: bool = True,
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validate: bool = True,
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@ -1711,12 +1711,12 @@ class Language:
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config (Dict[str, Any] / Config): The loaded config.
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vocab (Vocab): A Vocab object. If True, a vocab is created.
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disable (Iterable[str]): Names of pipeline components to disable.
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disable (Union[str, Iterable[str]]): Name(s) of pipeline component(s) to disable.
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Disabled pipes will be loaded but they won't be run unless you
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explicitly enable them by calling nlp.enable_pipe.
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enable (Iterable[str]): Names of pipeline components to enable. All other
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enable (Union[str, Iterable[str]]): Name(s) of pipeline component(s) to enable. All other
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pipes will be disabled (and can be enabled using `nlp.enable_pipe`).
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exclude (Iterable[str]): Names of pipeline components to exclude.
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exclude (Union[str, Iterable[str]]): Name(s) of pipeline component(s) to exclude.
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Excluded components won't be loaded.
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meta (Dict[str, Any]): Meta overrides for nlp.meta.
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auto_fill (bool): Automatically fill in missing values in config based
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@ -1727,6 +1727,12 @@ class Language:
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DOCS: https://spacy.io/api/language#from_config
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"""
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if isinstance(disable, str):
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disable = [disable]
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if isinstance(enable, str):
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enable = [enable]
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if isinstance(exclude, str):
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exclude = [exclude]
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if auto_fill:
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config = Config(
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cls.default_config, section_order=CONFIG_SECTION_ORDER
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@ -2031,25 +2037,29 @@ class Language:
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@staticmethod
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def _resolve_component_status(
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disable: Iterable[str], enable: Iterable[str], pipe_names: Collection[str]
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disable: Union[str, Iterable[str]],
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enable: Union[str, Iterable[str]],
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pipe_names: Iterable[str],
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) -> Tuple[str, ...]:
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"""Derives whether (1) `disable` and `enable` values are consistent and (2)
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resolves those to a single set of disabled components. Raises an error in
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case of inconsistency.
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disable (Iterable[str]): Names of components or serialization fields to disable.
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enable (Iterable[str]): Names of pipeline components to enable.
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disable (Union[str, Iterable[str]]): Name(s) of component(s) or serialization fields to disable.
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enable (Union[str, Iterable[str]]): Name(s) of pipeline component(s) to enable.
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pipe_names (Iterable[str]): Names of all pipeline components.
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RETURNS (Tuple[str, ...]): Names of components to exclude from pipeline w.r.t.
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specified includes and excludes.
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"""
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if disable is not None and isinstance(disable, str):
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if isinstance(disable, str):
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disable = [disable]
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to_disable = disable
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if enable:
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if isinstance(enable, str):
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enable = [enable]
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to_disable = [
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pipe_name for pipe_name in pipe_names if pipe_name not in enable
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]
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@ -618,6 +618,7 @@ def test_load_disable_enable() -> None:
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base_nlp.to_disk(tmp_dir)
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to_disable = ["parser", "tagger"]
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to_enable = ["tagger", "parser"]
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single_str = "tagger"
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# Setting only `disable`.
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nlp = spacy.load(tmp_dir, disable=to_disable)
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@ -632,6 +633,16 @@ def test_load_disable_enable() -> None:
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]
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)
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# Loading with a string representing one component
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nlp = spacy.load(tmp_dir, exclude=single_str)
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assert single_str not in nlp.component_names
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nlp = spacy.load(tmp_dir, disable=single_str)
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assert single_str in nlp.component_names
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assert single_str not in nlp.pipe_names
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assert nlp._disabled == {single_str}
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assert nlp.disabled == [single_str]
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# Testing consistent enable/disable combination.
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nlp = spacy.load(
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tmp_dir,
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@ -398,9 +398,9 @@ def load_model(
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name: Union[str, Path],
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*,
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vocab: Union["Vocab", bool] = True,
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disable: Iterable[str] = SimpleFrozenList(),
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enable: Iterable[str] = SimpleFrozenList(),
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exclude: Iterable[str] = SimpleFrozenList(),
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disable: Union[str, Iterable[str]] = SimpleFrozenList(),
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enable: Union[str, Iterable[str]] = SimpleFrozenList(),
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exclude: Union[str, Iterable[str]] = SimpleFrozenList(),
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config: Union[Dict[str, Any], Config] = SimpleFrozenDict(),
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) -> "Language":
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"""Load a model from a package or data path.
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@ -408,9 +408,9 @@ def load_model(
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name (str): Package name or model path.
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vocab (Vocab / True): Optional vocab to pass in on initialization. If True,
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a new Vocab object will be created.
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disable (Iterable[str]): Names of pipeline components to disable.
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enable (Iterable[str]): Names of pipeline components to enable. All others will be disabled.
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exclude (Iterable[str]): Names of pipeline components to exclude.
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disable (Union[str, Iterable[str]]): Name(s) of pipeline component(s) to disable.
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enable (Union[str, Iterable[str]]): Name(s) of pipeline component(s) to enable. All others will be disabled.
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exclude (Union[str, Iterable[str]]): Name(s) of pipeline component(s) to exclude.
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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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@ -440,9 +440,9 @@ def load_model_from_package(
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name: str,
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*,
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vocab: Union["Vocab", bool] = True,
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disable: Iterable[str] = SimpleFrozenList(),
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enable: Iterable[str] = SimpleFrozenList(),
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exclude: Iterable[str] = SimpleFrozenList(),
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disable: Union[str, Iterable[str]] = SimpleFrozenList(),
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enable: Union[str, Iterable[str]] = SimpleFrozenList(),
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exclude: Union[str, Iterable[str]] = SimpleFrozenList(),
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config: Union[Dict[str, Any], Config] = SimpleFrozenDict(),
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) -> "Language":
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"""Load a model from an installed package.
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@ -450,12 +450,12 @@ def load_model_from_package(
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name (str): The package name.
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vocab (Vocab / True): Optional vocab to pass in on initialization. If True,
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a new Vocab object will be created.
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disable (Iterable[str]): Names of pipeline components to disable. Disabled
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disable (Union[str, Iterable[str]]): Name(s) of pipeline component(s) to disable. Disabled
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pipes will be loaded but they won't be run unless you explicitly
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enable them by calling nlp.enable_pipe.
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enable (Iterable[str]): Names of pipeline components to enable. All other
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enable (Union[str, Iterable[str]]): Name(s) of pipeline component(s) to enable. All other
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pipes will be disabled (and can be enabled using `nlp.enable_pipe`).
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exclude (Iterable[str]): Names of pipeline components to exclude. Excluded
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exclude (Union[str, Iterable[str]]): Name(s) of pipeline component(s) to exclude. Excluded
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components won't be loaded.
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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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@ -470,9 +470,9 @@ def load_model_from_path(
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*,
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meta: Optional[Dict[str, Any]] = None,
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vocab: Union["Vocab", bool] = True,
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disable: Iterable[str] = SimpleFrozenList(),
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enable: Iterable[str] = SimpleFrozenList(),
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exclude: Iterable[str] = SimpleFrozenList(),
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disable: Union[str, Iterable[str]] = SimpleFrozenList(),
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enable: Union[str, Iterable[str]] = SimpleFrozenList(),
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exclude: Union[str, Iterable[str]] = SimpleFrozenList(),
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config: Union[Dict[str, Any], Config] = SimpleFrozenDict(),
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) -> "Language":
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"""Load a model from a data directory path. Creates Language class with
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@ -482,12 +482,12 @@ def load_model_from_path(
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meta (Dict[str, Any]): Optional model meta.
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vocab (Vocab / True): Optional vocab to pass in on initialization. If True,
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a new Vocab object will be created.
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disable (Iterable[str]): Names of pipeline components to disable. Disabled
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disable (Union[str, Iterable[str]]): Name(s) of pipeline component(s) to disable. Disabled
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pipes will be loaded but they won't be run unless you explicitly
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enable them by calling nlp.enable_pipe.
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enable (Iterable[str]): Names of pipeline components to enable. All other
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enable (Union[str, Iterable[str]]): Name(s) of pipeline component(s) to enable. All other
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pipes will be disabled (and can be enabled using `nlp.enable_pipe`).
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exclude (Iterable[str]): Names of pipeline components to exclude. Excluded
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exclude (Union[str, Iterable[str]]): Name(s) of pipeline component(s) to exclude. Excluded
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components won't be loaded.
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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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@ -516,9 +516,9 @@ def load_model_from_config(
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*,
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meta: Dict[str, Any] = SimpleFrozenDict(),
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vocab: Union["Vocab", bool] = True,
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disable: Iterable[str] = SimpleFrozenList(),
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enable: Iterable[str] = SimpleFrozenList(),
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exclude: Iterable[str] = SimpleFrozenList(),
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disable: Union[str, Iterable[str]] = SimpleFrozenList(),
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enable: Union[str, Iterable[str]] = SimpleFrozenList(),
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exclude: Union[str, Iterable[str]] = SimpleFrozenList(),
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auto_fill: bool = False,
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validate: bool = True,
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) -> "Language":
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@ -529,12 +529,12 @@ def load_model_from_config(
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meta (Dict[str, Any]): Optional model meta.
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vocab (Vocab / True): Optional vocab to pass in on initialization. If True,
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a new Vocab object will be created.
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disable (Iterable[str]): Names of pipeline components to disable. Disabled
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disable (Union[str, Iterable[str]]): Name(s) of pipeline component(s) to disable. Disabled
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pipes will be loaded but they won't be run unless you explicitly
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enable them by calling nlp.enable_pipe.
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enable (Iterable[str]): Names of pipeline components to enable. All other
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enable (Union[str, Iterable[str]]): Name(s) of pipeline component(s) to enable. All other
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pipes will be disabled (and can be enabled using `nlp.enable_pipe`).
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exclude (Iterable[str]): Names of pipeline components to exclude. Excluded
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exclude (Union[str, Iterable[str]]): Name(s) of pipeline component(s) to exclude. Excluded
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components won't be loaded.
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auto_fill (bool): Whether to auto-fill config with missing defaults.
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validate (bool): Whether to show config validation errors.
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@ -616,9 +616,9 @@ def load_model_from_init_py(
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init_file: Union[Path, str],
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*,
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vocab: Union["Vocab", bool] = True,
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disable: Iterable[str] = SimpleFrozenList(),
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enable: Iterable[str] = SimpleFrozenList(),
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exclude: Iterable[str] = SimpleFrozenList(),
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disable: Union[str, Iterable[str]] = SimpleFrozenList(),
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enable: Union[str, Iterable[str]] = SimpleFrozenList(),
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exclude: Union[str, Iterable[str]] = SimpleFrozenList(),
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config: Union[Dict[str, Any], Config] = SimpleFrozenDict(),
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) -> "Language":
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"""Helper function to use in the `load()` method of a model package's
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@ -626,12 +626,12 @@ def load_model_from_init_py(
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vocab (Vocab / True): Optional vocab to pass in on initialization. If True,
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a new Vocab object will be created.
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disable (Iterable[str]): Names of pipeline components to disable. Disabled
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disable (Union[str, Iterable[str]]): Name(s) of pipeline component(s) to disable. Disabled
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pipes will be loaded but they won't be run unless you explicitly
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enable them by calling nlp.enable_pipe.
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enable (Iterable[str]): Names of pipeline components to enable. All other
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enable (Union[str, Iterable[str]]): Name(s) of pipeline component(s) to enable. All other
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pipes will be disabled (and can be enabled using `nlp.enable_pipe`).
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exclude (Iterable[str]): Names of pipeline components to exclude. Excluded
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exclude (Union[str, Iterable[str]]): Name(s) of pipeline component(s) to exclude. Excluded
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components won't be loaded.
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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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|
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@ -63,17 +63,18 @@ spaCy loads a model under the hood based on its
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> nlp = Language.from_config(config)
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> ```
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| Name | Description |
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| -------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
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| `config` | The loaded config. ~~Union[Dict[str, Any], Config]~~ |
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| _keyword-only_ | |
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| `vocab` | A `Vocab` object. If `True`, a vocab is created using the default language data settings. ~~Vocab~~ |
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| `disable` | Names of pipeline components to [disable](/usage/processing-pipelines#disabling). Disabled pipes will be loaded but they won't be run unless you explicitly enable them by calling [`nlp.enable_pipe`](/api/language#enable_pipe). ~~List[str]~~ |
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| `exclude` | Names of pipeline components to [exclude](/usage/processing-pipelines#disabling). Excluded components won't be loaded. ~~List[str]~~ |
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| `meta` | [Meta data](/api/data-formats#meta) overrides. ~~Dict[str, Any]~~ |
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| `auto_fill` | Whether to automatically fill in missing values in the config, based on defaults and function argument annotations. Defaults to `True`. ~~bool~~ |
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| `validate` | Whether to validate the component config and arguments against the types expected by the factory. Defaults to `True`. ~~bool~~ |
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| **RETURNS** | The initialized object. ~~Language~~ |
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| Name | Description |
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| ------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| `config` | The loaded config. ~~Union[Dict[str, Any], Config]~~ |
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| _keyword-only_ | |
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| `vocab` | A `Vocab` object. If `True`, a vocab is created using the default language data settings. ~~Vocab~~ |
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| `disable` | Name(s) of pipeline component(s) to [disable](/usage/processing-pipelines#disabling). Disabled pipes will be loaded but they won't be run unless you explicitly enable them by calling [`nlp.enable_pipe`](/api/language#enable_pipe). ~~Union[str, Iterable[str]]~~ |
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| `enable` <Tag variant="new">3.4</Tag> | Name(s) of pipeline component(s) to [enable](/usage/processing-pipelines#disabling). All other pipes will be disabled, but can be enabled again using [`nlp.enable_pipe`](/api/language#enable_pipe). ~~Union[str, Iterable[str]]~~ |
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| `exclude` | Name(s) of pipeline component(s) to [exclude](/usage/processing-pipelines#disabling). Excluded components won't be loaded. ~~Union[str, Iterable[str]]~~ |
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| `meta` | [Meta data](/api/data-formats#meta) overrides. ~~Dict[str, Any]~~ |
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| `auto_fill` | Whether to automatically fill in missing values in the config, based on defaults and function argument annotations. Defaults to `True`. ~~bool~~ |
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| `validate` | Whether to validate the component config and arguments against the types expected by the factory. Defaults to `True`. ~~bool~~ |
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| **RETURNS** | The initialized object. ~~Language~~ |
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## Language.component {#component tag="classmethod" new="3"}
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|
@ -695,8 +696,8 @@ As of spaCy v3.0, the `disable_pipes` method has been renamed to `select_pipes`:
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| Name | Description |
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| -------------- | ------------------------------------------------------------------------------------------------------ |
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| _keyword-only_ | |
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| `disable` | Name(s) of pipeline components to disable. ~~Optional[Union[str, Iterable[str]]]~~ |
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| `enable` | Name(s) of pipeline components that will not be disabled. ~~Optional[Union[str, Iterable[str]]]~~ |
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| `disable` | Name(s) of pipeline component(s) to disable. ~~Optional[Union[str, Iterable[str]]]~~ |
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| `enable` | Name(s) of pipeline component(s) that will not be disabled. ~~Optional[Union[str, Iterable[str]]]~~ |
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| **RETURNS** | The disabled pipes that can be restored by calling the object's `.restore()` method. ~~DisabledPipes~~ |
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## Language.get_factory_meta {#get_factory_meta tag="classmethod" new="3"}
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|
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@ -45,16 +45,16 @@ specified separately using the new `exclude` keyword argument.
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> nlp = spacy.load("en_core_web_sm", exclude=["parser", "tagger"])
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> ```
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| Name | Description |
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| ------------------------------------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| `name` | Pipeline to load, i.e. package name or path. ~~Union[str, Path]~~ |
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| _keyword-only_ | |
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| `vocab` | Optional shared vocab to pass in on initialization. If `True` (default), a new `Vocab` object will be created. ~~Union[Vocab, bool]~~ |
|
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| `disable` | Names of pipeline components to [disable](/usage/processing-pipelines#disabling). Disabled pipes will be loaded but they won't be run unless you explicitly enable them by calling [nlp.enable_pipe](/api/language#enable_pipe). ~~List[str]~~ |
|
||||
| `enable` | Names of pipeline components to [enable](/usage/processing-pipelines#disabling). All other pipes will be disabled. ~~List[str]~~ |
|
||||
| `exclude` <Tag variant="new">3</Tag> | Names of pipeline components to [exclude](/usage/processing-pipelines#disabling). Excluded components won't be loaded. ~~List[str]~~ |
|
||||
| `config` <Tag variant="new">3</Tag> | Optional config overrides, either as nested dict or dict keyed by section value in dot notation, e.g. `"components.name.value"`. ~~Union[Dict[str, Any], Config]~~ |
|
||||
| **RETURNS** | A `Language` object with the loaded pipeline. ~~Language~~ |
|
||||
| Name | Description |
|
||||
| ------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
|
||||
| `name` | Pipeline to load, i.e. package name or path. ~~Union[str, Path]~~ |
|
||||
| _keyword-only_ | |
|
||||
| `vocab` | Optional shared vocab to pass in on initialization. If `True` (default), a new `Vocab` object will be created. ~~Union[Vocab, bool]~~ |
|
||||
| `disable` | Name(s) of pipeline component(s) to [disable](/usage/processing-pipelines#disabling). Disabled pipes will be loaded but they won't be run unless you explicitly enable them by calling [nlp.enable_pipe](/api/language#enable_pipe). ~~Union[str, Iterable[str]]~~ |
|
||||
| `enable` <Tag variant="new">3.4</Tag> | Name(s) of pipeline component(s) to [enable](/usage/processing-pipelines#disabling). All other pipes will be disabled. ~~Union[str, Iterable[str]]~~ |
|
||||
| `exclude` <Tag variant="new">3</Tag> | Name(s) of pipeline component(s) to [exclude](/usage/processing-pipelines#disabling). Excluded components won't be loaded. ~~Union[str, Iterable[str]]~~ |
|
||||
| `config` <Tag variant="new">3</Tag> | Optional config overrides, either as nested dict or dict keyed by section value in dot notation, e.g. `"components.name.value"`. ~~Union[Dict[str, Any], Config]~~ |
|
||||
| **RETURNS** | A `Language` object with the loaded pipeline. ~~Language~~ |
|
||||
|
||||
Essentially, `spacy.load()` is a convenience wrapper that reads the pipeline's
|
||||
[`config.cfg`](/api/data-formats#config), uses the language and pipeline
|
||||
|
@ -1049,15 +1049,16 @@ and create a `Language` object. The model data will then be loaded in via
|
|||
> nlp = util.load_model("/path/to/data")
|
||||
> ```
|
||||
|
||||
| Name | Description |
|
||||
| ------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
|
||||
| `name` | Package name or path. ~~str~~ |
|
||||
| _keyword-only_ | |
|
||||
| `vocab` | Optional shared vocab to pass in on initialization. If `True` (default), a new `Vocab` object will be created. ~~Union[Vocab, bool]~~ |
|
||||
| `disable` | Names of pipeline components to [disable](/usage/processing-pipelines#disabling). Disabled pipes will be loaded but they won't be run unless you explicitly enable them by calling [`nlp.enable_pipe`](/api/language#enable_pipe). ~~List[str]~~ |
|
||||
| `exclude` <Tag variant="new">3</Tag> | Names of pipeline components to [exclude](/usage/processing-pipelines#disabling). Excluded components won't be loaded. ~~List[str]~~ |
|
||||
| `config` <Tag variant="new">3</Tag> | Config overrides as nested dict or flat dict keyed by section values in dot notation, e.g. `"nlp.pipeline"`. ~~Union[Dict[str, Any], Config]~~ |
|
||||
| **RETURNS** | `Language` class with the loaded pipeline. ~~Language~~ |
|
||||
| Name | Description |
|
||||
| ------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
|
||||
| `name` | Package name or path. ~~str~~ |
|
||||
| _keyword-only_ | |
|
||||
| `vocab` | Optional shared vocab to pass in on initialization. If `True` (default), a new `Vocab` object will be created. ~~Union[Vocab, bool]~~ |
|
||||
| `disable` | Name(s) of pipeline component(s) to [disable](/usage/processing-pipelines#disabling). Disabled pipes will be loaded but they won't be run unless you explicitly enable them by calling [`nlp.enable_pipe`](/api/language#enable_pipe). ~~Union[str, Iterable[str]]~~ |
|
||||
| `enable` <Tag variant="new">3.4</Tag> | Name(s) of pipeline component(s) to [enable](/usage/processing-pipelines#disabling). All other pipes will be disabled, but can be enabled again using [`nlp.enable_pipe`](/api/language#enable_pipe). ~~Union[str, Iterable[str]]~~ |
|
||||
| `exclude` | Name(s) of pipeline component(s) to [exclude](/usage/processing-pipelines#disabling). Excluded components won't be loaded. ~~Union[str, Iterable[str]]~~ |
|
||||
| `config` <Tag variant="new">3</Tag> | Config overrides as nested dict or flat dict keyed by section values in dot notation, e.g. `"nlp.pipeline"`. ~~Union[Dict[str, Any], Config]~~ |
|
||||
| **RETURNS** | `Language` class with the loaded pipeline. ~~Language~~ |
|
||||
|
||||
### util.load_model_from_init_py {#util.load_model_from_init_py tag="function" new="2"}
|
||||
|
||||
|
@ -1073,15 +1074,16 @@ A helper function to use in the `load()` method of a pipeline package's
|
|||
> return load_model_from_init_py(__file__, **overrides)
|
||||
> ```
|
||||
|
||||
| Name | Description |
|
||||
| ------------------------------------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
|
||||
| `init_file` | Path to package's `__init__.py`, i.e. `__file__`. ~~Union[str, Path]~~ |
|
||||
| _keyword-only_ | |
|
||||
| `vocab` <Tag variant="new">3</Tag> | Optional shared vocab to pass in on initialization. If `True` (default), a new `Vocab` object will be created. ~~Union[Vocab, bool]~~ |
|
||||
| `disable` | Names of pipeline components to [disable](/usage/processing-pipelines#disabling). Disabled pipes will be loaded but they won't be run unless you explicitly enable them by calling [nlp.enable_pipe](/api/language#enable_pipe). ~~List[str]~~ |
|
||||
| `exclude` <Tag variant="new">3</Tag> | Names of pipeline components to [exclude](/usage/processing-pipelines#disabling). Excluded components won't be loaded. ~~List[str]~~ |
|
||||
| `config` <Tag variant="new">3</Tag> | Config overrides as nested dict or flat dict keyed by section values in dot notation, e.g. `"nlp.pipeline"`. ~~Union[Dict[str, Any], Config]~~ |
|
||||
| **RETURNS** | `Language` class with the loaded pipeline. ~~Language~~ |
|
||||
| Name | Description |
|
||||
| ------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
|
||||
| `init_file` | Path to package's `__init__.py`, i.e. `__file__`. ~~Union[str, Path]~~ |
|
||||
| _keyword-only_ | |
|
||||
| `vocab` <Tag variant="new">3</Tag> | Optional shared vocab to pass in on initialization. If `True` (default), a new `Vocab` object will be created. ~~Union[Vocab, bool]~~ |
|
||||
| `disable` | Name(s) of pipeline component(s) to [disable](/usage/processing-pipelines#disabling). Disabled pipes will be loaded but they won't be run unless you explicitly enable them by calling [`nlp.enable_pipe`](/api/language#enable_pipe). ~~Union[str, Iterable[str]]~~ |
|
||||
| `enable` <Tag variant="new">3.4</Tag> | Name(s) of pipeline component(s) to [enable](/usage/processing-pipelines#disabling). All other pipes will be disabled, but can be enabled again using [`nlp.enable_pipe`](/api/language#enable_pipe). ~~Union[str, Iterable[str]]~~ |
|
||||
| `exclude` <Tag variant="new">3</Tag> | Name(s) of pipeline component(s) to [exclude](/usage/processing-pipelines#disabling). Excluded components won't be loaded. ~~Union[str, Iterable[str]]~~ |
|
||||
| `config` <Tag variant="new">3</Tag> | Config overrides as nested dict or flat dict keyed by section values in dot notation, e.g. `"nlp.pipeline"`. ~~Union[Dict[str, Any], Config]~~ |
|
||||
| **RETURNS** | `Language` class with the loaded pipeline. ~~Language~~ |
|
||||
|
||||
### util.load_config {#util.load_config tag="function" new="3"}
|
||||
|
||||
|
|
Loading…
Reference in New Issue
Block a user