anchor.diff:  
       nlp = en_core_web_md.load()
       doc = nlp(u'This is a sentence.')
  -
  -p This should also work for older models in previous versions of spaCy.
   
   +h(2, "own-models") Using your own models
   
  
positive.code: 
      +row
          +cell #[code de_core_news_md]
          +cell 637 MB
          +cell Vocab, syntax, entities, word vectors #[+tag default]
  
  p
  
negative.code:         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]
  