readme: ---
  tags:
  - glove
  - gensim
  license: pddl
  ---
  
  # Glove Twitter 
  
  Pre-trained glove vectors based on 2B tweets, 27B tokens, 1.2M vocab, uncased.
  
  Read more:
  * https://nlp.stanford.edu/projects/glove/
  * https://nlp.stanford.edu/pubs/glove.pdf
  
  ## Example Usage
  
  ```python
  import gensim.downloader as api
  model = api.load("glove-twitter-25", from_hf=True)
  model.most_similar(positive=['fruit', 'flower'], topn=1)
  
  """
  Output:
  
  [('cherry', 0.9183273911476135)]
  """
  ``` 