semvec/pypi-packages huggingface dataset:
vecto 0.2.21
toolbox for various tasks in the area of vector space models of computational linguistic
License: Apache License 2.0
Requires Python: >=3.5
Keywords: NLP,linguistics,language

vecto
*****

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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.
=================== ===

.. _Tutorial: http://vecto.readthedocs.io/en/docs/tutorial/index.html
.. _API Reference: http://vecto.readthedocs.io/en/docs/reference/index.html
.. _Contribute: http://vecto.readthedocs.io/en/docs/contribution.html