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