anchor.diff:  p
       |  Create a #[+a("/docs/usage/models#usage") shortcut link] for a model,
       |  either a Python package or a local directory. This will let you load
  -    |  models from any location via #[code spacy.load()].
  +    |  models from any location using a custom name via
  +    |  #[+api("spacy#load") #[code spacy.load()]].
   
   +code(false, "bash").
       python -m spacy link [origin] [link_name] [--force]
  
positive.code:     |  #[+a("/docs/api/annotation#json-input") JSON format].
  
  +code(false, "bash").
      python -m spacy train [lang] [output_dir] [train_data] [dev_data] [--n_iter] [--parser_L1] [--no_tagger] [--no_parser] [--no_ner]
  
  +table(["Argument", "Type", "Description"])
      +row
  
negative.code: +aside("Why python -m?")
      |  The problem with a global entry point is that it's resolved by looking up
      |  entries in your #[code PATH] environment variable. This can give you
      |  unexpected results, like executing the wrong spaCy installation
      |  (especially when using #[code virtualenv]). #[code python -m] prevents
      |  fallbacks to system modules and makes sure the correct spaCy version is
      |  used. If you hate typing it every time, we recommend creating an
      |  #[code alias] instead.
  
  +h(2, "download") Download
  
  