vecto
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
vecto overview and end-to-end examples. |
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The detailed reference for vecto API. |
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How to contribute to the vecto project and code base. |
1 maintainer
Metadata
1 maintainer
Release files for vecto 0.2.21
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| vecto-0.2.21-py3-none-any.whl | Python 3 | none | any | Details |
Release files / vecto-0.2.21-py3-none-any.whl
| Download URL | vecto-0.2.21-py3-none-any.whl |
|---|---|
| Size | 89.0 kB |
| Tags | Python 3 |
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twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.9.7
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