vecto 0.2.21

toolbox for various tasks in the area of vector space models of computational linguistic

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

What functionality is included

• 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.

How do I get set up?

• 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

📖 Documentation

Tutorial	vecto overview and end-to-end examples.
API Reference	The detailed reference for vecto API.
Contribute	How to contribute to the vecto project and code base.