Vecto helps to perform a range of tasks within the framework of vector space models of computational linguistics.

• creating word embeddings by counting and neural-based methods, including sub-word-level models;
• importing and exporting from a number of popular formats of word embeddings and providing unified access to word vectors;
• perfroming a range of downstream tasks / benchmarks;
• visualising embeddings.

• pip3 install vecto for stable version
• pip3 install git+https://github.com/vecto-ai/vecto.git for latest dev version
• Python 3.6 or later is required