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Update models documentation with notes
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@ -101,6 +101,9 @@ p
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| directory. You can then use #[code spacy.load()] to load it via its
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| package name, create a #[+a("#usage-link") shortcut link] to assign it a
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| custom name, or #[+a("usage-import") import it] explicitly as a module.
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| If you need to download models as part of an automated process, we
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| recommend using pip with a direct link, instead of relying on spaCy's
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| #[+api("cli#download") #[code download]] command.
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+h(3, "download-manual") Manual download and installation
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@ -162,6 +165,14 @@ p
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| The #[+api("cli#link") #[code link]] command will create a symlink
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| in the #[code spacy/data] directory.
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+aside("Why does spaCy use symlinks?")
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| Symlinks were originally introduced to maintain backwards compatibility,
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| as older versions expected model data to live within #[code spacy/data].
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| However, we decided to keep using them in v2.0 instead of opting for
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| a config file. There'll always be a need for assigning and saving custom
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| model names or IDs. And your system already comes with a native solution
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| to mapping unicode aliases to file paths: symbolic links.
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+code(false, "bash").
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python -m spacy link [package name or path] [shortcut] [--force]
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@ -179,7 +190,7 @@ p
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python -m spacy link /Users/you/model my_amazing_model
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+infobox("Important note")
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| In order to create a symlink, your user needs the required permissions.
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| In order to create a symlink, your user needs the #[strong required permissions].
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| If you've installed spaCy to a system directory and don't have admin
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| privileges, the #[code spacy link] command may fail. The easiest solution
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| is to re-run the command as admin, or use a #[code virtualenv]. For more
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@ -189,16 +200,26 @@ p
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+h(3, "usage-import") Importing models as modules
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p
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| If you've installed a model via pip, you can also #[code import] it
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| directly and then call its #[code load()] method with no arguments:
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| If you've installed a model via spaCy's downloader, or directly via pip,
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| you can also #[code import] it and then call its #[code load()] method
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| with no arguments:
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+code.
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import spacy
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import en_core_web_md
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nlp = en_core_web_md.load()
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doc = nlp(u'This is a sentence.')
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p
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| How you choose to load your models ultimately depends on personal
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| preference. However, #[strong for larger code bases], we usually recommend
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| native imports, as this will make it easier to integrate models with your
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| existing build process, continuous integration workflow and testing
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| framework. It'll also prevent you from ever trying to load a model that
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| is not installed, as your code will raise an #[code ImportError]
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| immediately, instead of failing somewhere down the line when calling
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| #[code spacy.load()].
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+h(2, "own-models") Using your own models
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p
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