      |  behaviours by modifying the #[code doc.user_hooks],
      |  #[code doc.user_span_hooks] and #[code doc.user_token_hooks]
      |  dictionaries.
  
  +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)].
  
  +h(2, "similarity") Similarity
 
</s> remove     |  vectors of their tokens.

p
    |  You can customize these
 </s> add     |  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.
  





















  +h(2, "similarity") Similarity
keep keep keep keep replace replace replace replace replace replace replace replace replace replace replace replace replace replace replace replace replace replace replace replace replace keep
 Update usage and 101 docs 
website/docs/usage/word-vectors-similarities.jade