vecto helps to perform a range of tasks within a 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 banch of popular formats of word embeddings and providing unified access to word-vectors
- perfroming a range of downstream tasks / benchmarks on embeddings
- visualising embeddings
pip3 install vectofor stable versionpip3 install git+https://github.com/vecto-ai/vecto.gitfor latest dev version- Python 3.5 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. |