//- 💫 DOCS > API > LANGUAGE MODELS

include ../../_includes/_mixins

p
    |  spaCy currently provides models for the following languages and
    |  capabilities:


+aside-code("Download language models", "bash").
    python -m spacy download en
    python -m spacy download de
    python -m spacy download fr

+table([ "Language", "Token", "SBD", "Lemma", "POS", "NER", "Dep", "Vector", "Sentiment"])
    +row
        +cell English #[code en]
        each icon in [ "pro", "pro", "pro", "pro", "pro", "pro", "pro", "con" ]
            +cell.u-text-center #[+procon(icon)]

    +row
        +cell German #[code de]
        each icon in [ "pro", "pro", "con", "pro", "pro", "pro", "pro", "con" ]
            +cell.u-text-center #[+procon(icon)]

    +row
        +cell French #[code fr]
        each icon in [ "pro", "con", "con", "pro", "con", "pro", "pro", "con" ]
            +cell.u-text-center #[+procon(icon)]

    +row
        +cell Spanish #[code es]
        each icon in [ "pro", "pro", "con", "pro", "pro", "pro", "pro", "con" ]
            +cell.u-text-center #[+procon(icon)]

p
    +button("/docs/usage/models", true, "primary") See available models

+h(2, "alpha-support") Alpha tokenization support

p
    |  Work has started on the following languages. You can help by
    |  #[+a("/docs/usage/adding-languages#language-data") improving the existing language data]
    |  and extending the tokenization patterns.

+aside("Usage note")
    |  Note that the alpha languages don't yet come with a language model. In
    |  order to use them, you have to import them directly:

    +code.o-no-block.
        from spacy.lang.fi import Finnish
        nlp = Finnish()
        doc = nlp(u'Ilmatyynyalukseni on täynnä ankeriaita')

+infobox("Dependencies")
    |  Some language tokenizers require external dependencies. To use #[strong Chinese],
    |  you need to have #[+a("https://github.com/fxsjy/jieba") Jieba] installed.
    |  The #[strong Japanese] tokenizer requires
    |  #[+a("https://github.com/mocobeta/janome") Janome].

+table([ "Language", "Code", "Source" ])
    each language, code in { it: "Italian", pt: "Portuguese", nl: "Dutch", sv: "Swedish", fi: "Finnish", nb: "Norwegian Bokmål", da: "Danish", hu: "Hungarian", pl: "Polish", bn: "Bengali", he: "Hebrew", zh: "Chinese", ja: "Japanese" }
        +row
            +cell #{language}
            +cell #[code=code]
            +cell
                +src(gh("spaCy", "spacy/lang/" + code)) lang/#{code}

+h(2, "multi-language") Multi-language support
    +tag-new(2)

p
    |  As of v2.0, spaCy supports models trained on more than one language. This
    |  is especially useful for named entity recognition. The language ID used
    |  for multi-language or language-neutral models is #[code xx]. The
    |  language class, a generic subclass containing only the base language data,
    |  can be found in #[+src(gh("spaCy", "spacy/lang/xx")) lang/xx].

p
    |  To load your model with the neutral, multi-language class, simply set
    |  #[code "language": "xx"] in your
    |  #[+a("/docs/usage/saving-loading#models-generating") model package]'s
    |  meta.json. You can also import the class directly, or call
    |  #[+api("util#get_lang_class") #[code util.get_lang_class()]] for
    |  lazy-loading.

+code("Standard import").
    from spacy.lang.xx import MultiLanguage
    nlp = MultiLanguage()

+code("With lazy-loading").
    from spacy.util import get_lang_class
    nlp = get_lang_class('xx')