      |  #[code nlp] object itself as a list:
  
  +code.
      nlp = spacy.load('en', disable['parser', 'tagger'])
      nlp = English().from_disk('/model', disable=['tensorizer', 'ner'])
  
  p
      |  You can also use the #[+api("language#remove_pipe") #[code remove_pipe]]
      |  method to remove pipeline components from an existing pipeline, the
      |  #[+api("language#rename_pipe") #[code rename_pipe]] method to rename them,
 
</s> remove     | ... the model tells spaCy to use the language #[code "en"] and the pipeline
    |  #[code.u-break ["tensorizer", "tagger", "parser", "ner"]]. spaCy will
    |  then initialise #[code spacy.lang.en.English], and create each pipeline
 </s> add     | ... the model tells spaCy to use the language #[code "en"] and the
    |  pipeline #[code.u-break ["tagger", "parser", "ner"]]. spaCy will then
    |  initialise #[code spacy.lang.en.English], and create each pipeline </s> remove     pipeline = ['tensorizer', 'tagger', 'parser', 'ner']
 </s> add     pipeline = ['tagger', 'parser', 'ner'] </s> remove     "pipeline": ["tensorizer", "tagger", "parser", "ner"]
 </s> add     "pipeline": ["tagger", "parser", "ner"] </s> remove     |  require certain modifications on the #[code Doc] to process it. For
    |  example, the default pipeline first applies the tensorizer, which
    |  pre-processes the doc and encodes its internal
 </s> add     |  require certain modifications on the #[code Doc] to process it. As the
    |  processing pipeline is applied, spaCy encodes the document's internal </s> remove     |  document. This step is similar to the #[+api("tensorizer") #[code Tensorizer]]
    |  component, but the #[code TextCategorizer] uses its own CNN model, to
 </s> add     |  document. The #[code TextCategorizer] uses its own CNN model, to
    nlp = English().from_disk('/model', disable=['ner'])
      |  #[code nlp] object itself as a list:
  
  +code.
      nlp = spacy.load('en', disable['parser', 'tagger'])
    nlp = English().from_disk('/model', disable=['ner'])
  
  p
      |  You can also use the #[+api("language#remove_pipe") #[code remove_pipe]]
      |  method to remove pipeline components from an existing pipeline, the
      |  #[+api("language#rename_pipe") #[code rename_pipe]] method to rename them,
keep keep keep keep replace keep keep keep keep keep
 Don't document the tensorizer for now 
website/usage/_processing-pipelines/_pipelines.jade