//- 💫 DOCS > API > SPACY include ../../_includes/_mixins +h(2, "load") spacy.load +tag function +tag-model p | Load a model via its #[+a("/docs/usage/models#usage") shortcut link], | the name of an installed | #[+a("/docs/usage/saving-loading#generating") model package], a unicode | path or a #[code Path]-like object. spaCy will try resolving the load | argument in this order. The #[code Language] class to initialise will be | determined based on the model's settings. +aside-code("Example"). nlp = spacy.load('en') # shortcut link nlp = spacy.load('en_core_web_sm') # package nlp = spacy.load('/path/to/en') # unicode path nlp = spacy.load(Path('/path/to/en')) # pathlib Path nlp = spacy.load('en', disable['parser', 'tagger']) +table(["Name", "Type", "Description"]) +row +cell #[code name] +cell unicode or #[code Path] +cell Model to load, i.e. shortcut link, package name or path. +row +cell #[code disable] +cell list +cell | Names of pipeline components to | #[+a("/docs/usage/language-processing-pipeline#disabling") disable]. +footrow +cell returns +cell #[code Language] +cell A #[code Language] object with the loaded model. +infobox("⚠️ Deprecation note") .o-block | As of spaCy 2.0, the #[code path] keyword argument is deprecated. spaCy | will also raise an error if no model could be loaded and never just | return an empty #[code Language] object. If you need a blank language, | you need to import it explicitly (#[code from spacy.lang.en import English]) | or use #[+api("util#get_lang_class") #[code util.get_lang_class]]. +code-new nlp = spacy.load('/model') +code-old nlp = spacy.load('en', path='/model') +h(2, "info") spacy.info +tag function p | The same as the #[+api("cli#info") #[code info] command]. Pretty-print | information about your installation, models and local setup from within | spaCy. To get the model meta data as a dictionary instead, you can | use the #[code meta] attribute on your #[code nlp] object with a | loaded model, e.g. #[code nlp['meta']]. +aside-code("Example"). spacy.info() spacy.info('en') spacy.info('de', markdown=True) +table(["Name", "Type", "Description"]) +row +cell #[code model] +cell unicode +cell A model, i.e. shortcut link, package name or path (optional). +row +cell #[code markdown] +cell bool +cell Print information as Markdown. +h(2, "explain") spacy.explain +tag function p | Get a description for a given POS tag, dependency label or entity type. | For a list of available terms, see | #[+src(gh("spacy", "spacy/glossary.py")) glossary.py]. +aside-code("Example"). spacy.explain('NORP') # Nationalities or religious or political groups doc = nlp(u'Hello world') for word in doc: print(word.text, word.tag_, spacy.explain(word.tag_)) # Hello UH interjection # world NN noun, singular or mass +table(["Name", "Type", "Description"]) +row +cell #[code term] +cell unicode +cell Term to explain. +footrow +cell returns +cell unicode +cell The explanation, or #[code None] if not found in the glossary. +h(2, "set_factory") spacy.set_factory +tag function +tag-new(2) p | Set a factory that returns a custom | #[+a("/docs/usage/language-processing-pipeline") processing pipeline] | component. Factories are useful for creating stateful components, especially ones which depend on shared data. +aside-code("Example"). def my_factory(vocab): def my_component(doc): return doc return my_component spacy.set_factory('my_factory', my_factory) nlp = Language(pipeline=['my_factory']) +table(["Name", "Type", "Description"]) +row +cell #[code factory_id] +cell unicode +cell | Unique name of factory. If added to a new pipeline, spaCy will | look up the factory for this ID and use it to create the | component. +row +cell #[code factory] +cell callable +cell | Callable that takes a #[code Vocab] object and returns a pipeline | component.