//- 💫 DOCS > USAGE > MODELS include ../../_includes/_mixins p | As of v1.7.0, models for spaCy can be installed as #[strong Python packages]. | This means that they're a component of your application, just like any | other module. They're versioned and can be defined as a dependency in your | #[code requirements.txt]. Models can be installed from a download URL or | a local directory, manually or via #[+a("https://pypi.python.org/pypi/pip") pip]. | Their data can be located anywhere on your file system. To make a model | available to spaCy, all you need to do is create a "shortcut link", an | internal alias that tells spaCy where to find the data files for a specific | model name. +aside-code("Quickstart"). # Install spaCy and download English model pip install spacy python -m spacy download en # Usage in Python import spacy nlp = spacy.load('en') doc = nlp(u'This is a sentence.') +infobox("Important note") | Due to improvements in the English lemmatizer in v1.7.0, you need to | #[strong download the new English models]. The German model is still | compatible. If you've trained statistical models that use spaCy's | annotations, you should #[strong retrain your models after updating spaCy]. | If you don't retrain your models, you may suffer train/test skew, which | might decrease your accuracy. +h(2, "available") Available models include _models-list +h(2, "download") Downloading models +aside("Downloading models in spaCy < v1.7") | In older versions of spaCy, you can still use the old download commands. | This will download and install the models into the #[code spacy/data] | directory. +code.o-no-block. python -m spacy.en.download all python -m spacy.de.download all python -m spacy.en.download glove | The old models are also #[+a(gh("spacy") + "/tree/v1.6.0") attached to the v1.6.0 release]. | To download and install them manually, unpack the archive, drop the | contained directory into #[code spacy/data] and load the model via | #[code spacy.load('en')] or #[code spacy.load('de')]. p | The easiest way to download a model is via spaCy's #[code download] | command. It takes care of finding the best-matching model compatible with | your spaCy installation. +code(false, "bash"). # out-of-the-box: download best-matching default model python -m spacy download en python -m spacy download de # download best-matching version of specific model for your spaCy installation python -m spacy download en_core_web_md # download exact model version (doesn't create shortcut link) python -m spacy download en_core_web_md-1.2.0 --direct p | The download command will #[+a("#download-pip") install the model] via | pip, place the package in your #[code site-packages] directory and create | a #[+a("#usage") shortcut link] that lets you load the model by name. The | shortcut link will be the same as the model name used in | #[code spacy.download]. +code(false, "bash"). pip install spacy python -m spacy download en +code. import spacy nlp = spacy.load('en') doc = nlp(u'This is a sentence.') +h(3, "download-pip") Installation via pip p | To download a model directly using #[+a("https://pypi.python.org/pypi/pip") pip], | simply point #[code pip install] to the URL or local path of the archive | file. To find the direct link to a model, head over to the | #[+a(gh("spacy-models") + "/releases") model releases], right click on the archive | link and copy it to your clipboard. +code(false, "bash"). # with external URL pip install #{gh("spacy-models")}/releases/download/en_core_web_md-1.2.0/en_core_web_md-1.2.0.tar.gz # with local file pip install /Users/you/en_core_web_md-1.2.0.tar.gz p | By default, this will install the model into your #[code site-packages] | directory. You can then create a #[+a("#usage") shortcut link] for your | model to load it via #[code spacy.load()], or #[+a("usage-import") import it] | as a Python module. +h(3, "download-manual") Manual download and installation p | In some cases, you might prefer downloading the data manually, for | example to place it into a custom directory. You can download the model | via your browser from the #[+a(gh("spacy-models")) latest releases], or configure | your own download script using the URL of the archive file. The archive | consists of a model directory that contains another directory with the | model data. +code("Directory structure", "yaml"). └── en_core_web_md-1.2.0.tar.gz # downloaded archive ├── meta.json # model meta data ├── setup.py # setup file for pip installation └── en_core_web_md # model directory ├── __init__.py # init for pip installation ├── meta.json # model meta data └── en_core_web_md-1.2.0 # model data p | You can place the model data directory anywhere on your local file system. | To use it with spaCy, simply assign it a name by creating a | #[+a("#usage") shortcut link] for the data directory. +h(2, "usage") Using models with spaCy p | While previous versions of spaCy required you to maintain a data directory | containing the models for each installation, you can now choose how and | where you want to keep your data files. To load the models conveniently | from within spaCy, you can use the #[code spacy.link] command to create a | symlink. This lets you set up custom shortcut links for models so you can | load them by name. +code(false, "bash"). python -m spacy link [package name or path] [shortcut] [--force] p | The first argument is the package name (if the model was installed via | pip), or a local path to the the data directory. The second argument is | the internal name you want to use for the model. Setting the #[code --force] | flag will overwrite any existing links. +code("Examples", "bash"). # set up shortcut link to load installed package as "en_default" python -m spacy link en_core_web_md en_default # set up shortcut link to load local model as "my_amazing_model" python -m spacy link /Users/you/model my_amazing_model +h(3, "usage-loading") Loading models p | To load a model, use #[code spacy.load()] with the model's shortcut link. +code. import spacy nlp = spacy.load('en_default') doc = nlp(u'This is a sentence.') p | You can also use the #[info] command or #[code info()] method to print a model's meta data | before loading it. Each #[code Language] object returned by #[code spacy.load()] | also exposes the model's meta data as the attribute #[code meta]. +code(false, "bash"). python -m spacy info en # model meta data +code. import spacy spacy.info('en_default') # model meta data nlp = spacy.load('en_default') print(nlp.meta['version']) # 1.2.0 +h(3, "usage-import") Importing models as modules p | If you've installed a model via pip, you can also #[code import] it | directly and then call its #[code load()] method with no arguments: +code. import spacy import en_core_web_md nlp = en_core_web_md.load() doc = nlp(u'This is a sentence.') +h(2, "own-models") Using your own models p | If you've trained your own model, for example for | #[+a("/docs/usage/adding-languages") additional languages] or | #[+a("/docs/usage/train-ner") custom named entities], you can save its | state using the #[code Language.save_to_directory()] method. To make the | model more convenient to deploy, we recommend wrapping it as a Python | package. +infobox("Saving and loading models") | For more information and a detailed guide on how to package your model, | see the documentation on | #[+a("/docs/usage/saving-loading") saving and loading models].