Add section on disabling pipeline components

website/docs/usage/language-processing-pipeline.jade

@@ -315,3 +315,43 @@ p
     |  For more information and a detailed guide on how to package your model,
     |  see the documentation on
     |  #[+a("/docs/usage/saving-loading#models") saving and loading models].
+
++h(2, "disabling") Disabling pipeline components
+
+p
+    |  If you don't need a particular component of the pipeline – for
+    |  example, the tagger or the parser, you can disable loading it. This can
+    |  sometimes make a big difference and improve loading speed. Disabled
+    |  component names can be provided to #[code spacy.load], #[code from_disk]
+    |  or the #[code nlp] object itself as a list:
+
++code.
+    nlp = spacy.load('en', disable['parser', 'tagger'])
+    nlp = English().from_disk('/model', disable=['vectorizer', 'ner'])
+    doc = nlp(u"I don't want parsed", disable=['parser'])
+
+p
+    |  Note that you can't write directly to #[code nlp.pipeline], as this list
+    |  holds the #[em actual components], not the IDs. However, if you know the
+    |  order of the components, you can still slice the list:
+
++code.
+    nlp = spacy.load('en')
+    nlp.pipeline = nlp.pipeline[:2] # only use the first two components
+
++infobox("Important note: disabling pipeline components")
+    .o-block
+        |  Since spaCy v2.0 comes with better support for customising the
+        |  processing pipeline components, the #[code parser], #[code tagger]
+        |  and #[code entity] keyword arguments have been replaced with
+        |  #[code disable], which takes a list of
+        |  #[+a("/docs/usage/language-processing-pipeline") pipeline component names].
+        |  This lets you disable both default and custom components when loading
+        |  a model, or initialising a Language class via
+        |  #[+api("language-from_disk") #[code from_disk]].
+    +code-new.
+        nlp = spacy.load('en', disable=['parser'])
+        doc = nlp(u"I don't want parsed", disable=['parser'])
+    +code-old.
+        nlp = spacy.load('en', parser=False)
+        doc = nlp(u"I don't want parsed", parse=False)