      |  By default, #[+api("token#vector") #[code Token.vector]] returns the
      |  vector for its underlying #[+api("lexeme") #[code Lexeme]], while
      |  #[+api("doc#vector") #[code Doc.vector]] and
      |  #[+api("span#vector") #[code Span.vector]] return an average of the
      |  vectors of their tokens.
  
  p
      |  You can customize these
      |  behaviours by modifying the #[code doc.user_hooks],
      |  #[code doc.user_span_hooks] and #[code doc.user_token_hooks]
      |  dictionaries.
  
  +code("Example").
 
</s> remove +code("Example").
    # TODO

p
    |  You can load new word vectors from a file-like buffer using the
    |  #[code vocab.load_vectors()] method. The file should be a
    |  whitespace-delimited text file, where the word is in the first column,
    |  and subsequent columns provide the vector data.  For faster loading, you
    |  can use the #[code vocab.vectors_from_bin_loc()] method, which accepts a
    |  path to a binary file written by #[code vocab.dump_vectors()].

+code("Example").
    # TODO

p
    |  You can also load vectors from memory by writing to the
    |  #[+api("lexeme#vector") #[code Lexeme.vector]] property. If the vectors
    |  you are writing are of different dimensionality
    |  from the ones currently loaded, you should first call
    |  #[code vocab.resize_vectors(new_size)].

 </s> add 
    |  vectors of their tokens. You can customize these
      |  By default, #[+api("token#vector") #[code Token.vector]] returns the
      |  vector for its underlying #[+api("lexeme") #[code Lexeme]], while
      |  #[+api("doc#vector") #[code Doc.vector]] and
      |  #[+api("span#vector") #[code Span.vector]] return an average of the
    |  vectors of their tokens. You can customize these
    |  vectors of their tokens. You can customize these
    |  vectors of their tokens. You can customize these
    |  vectors of their tokens. You can customize these
      |  behaviours by modifying the #[code doc.user_hooks],
      |  #[code doc.user_span_hooks] and #[code doc.user_token_hooks]
      |  dictionaries.
  
  +code("Example").
keep keep keep keep replace replace replace replace keep keep keep keep keep
 Update usage and 101 docs 
website/docs/usage/word-vectors-similarities.jade