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 vectofor stable versionpip3 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. |