Update models documentation with notes

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ines 2017-05-22 18:53:14 +02:00
parent a23f487b06
commit 701cba1524

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@ -101,6 +101,9 @@ p
| directory. You can then use #[code spacy.load()] to load it via its
| package name, create a #[+a("#usage-link") shortcut link] to assign it a
| custom name, or #[+a("usage-import") import it] explicitly as a module.
| If you need to download models as part of an automated process, we
| recommend using pip with a direct link, instead of relying on spaCy's
| #[+api("cli#download") #[code download]] command.
+h(3, "download-manual") Manual download and installation
@ -162,6 +165,14 @@ p
| The #[+api("cli#link") #[code link]] command will create a symlink
| in the #[code spacy/data] directory.
+aside("Why does spaCy use symlinks?")
| Symlinks were originally introduced to maintain backwards compatibility,
| as older versions expected model data to live within #[code spacy/data].
| However, we decided to keep using them in v2.0 instead of opting for
| a config file. There'll always be a need for assigning and saving custom
| model names or IDs. And your system already comes with a native solution
| to mapping unicode aliases to file paths: symbolic links.
+code(false, "bash").
python -m spacy link [package name or path] [shortcut] [--force]
@ -179,7 +190,7 @@ p
python -m spacy link /Users/you/model my_amazing_model
+infobox("Important note")
| In order to create a symlink, your user needs the required permissions.
| In order to create a symlink, your user needs the #[strong required permissions].
| If you've installed spaCy to a system directory and don't have admin
| privileges, the #[code spacy link] command may fail. The easiest solution
| is to re-run the command as admin, or use a #[code virtualenv]. For more
@ -189,16 +200,26 @@ p
+h(3, "usage-import") Importing models as modules
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| 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:
| If you've installed a model via spaCy's downloader, or directly via pip,
| you can also #[code import] it 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.')
p
| How you choose to load your models ultimately depends on personal
| preference. However, #[strong for larger code bases], we usually recommend
| native imports, as this will make it easier to integrate models with your
| existing build process, continuous integration workflow and testing
| framework. It'll also prevent you from ever trying to load a model that
| is not installed, as your code will raise an #[code ImportError]
| immediately, instead of failing somewhere down the line when calling
| #[code spacy.load()].
+h(2, "own-models") Using your own models
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