  Vector space embedding models like word2vec, GloVe, fastText, and ELMo are
extremely popular representations in natural language processing (NLP)
applications. We present Magnitude, a fast, lightweight tool for utilizing and
processing embeddings. Magnitude is an open source Python package with a
compact vector storage file format that allows for efficient manipulation of
huge numbers of embeddings. Magnitude performs common operations up to 60 to
6,000 times faster than Gensim. Magnitude introduces several novel features for
improved robustness like out-of-vocabulary lookups.
