Metadata-Version: 2.1
Name: laserembeddings-fork
Version: 1.2.1
Summary: Production-ready LASER multilingual embeddings (Fork)
Home-page: https://github.com/KartinaTV/laserembeddings
License: BSD-3-Clause
Author: yannvgn
Author-email: hi@yannvgn.io
Maintainer: Aleh Haidash
Maintainer-email: aleh.haidash@gmail.com
Requires-Python: >=3.10.0,<4.0.0
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Provides-Extra: ja
Provides-Extra: zh
Requires-Dist: ipadic (==1.0.0) ; extra == "ja"
Requires-Dist: jieba (>=0.42.1,<0.43.0) ; extra == "zh"
Requires-Dist: mecab-python3 (>=1.0.1,<2.0.0) ; extra == "ja"
Requires-Dist: numpy (>=1.15.4,<2.0.0)
Requires-Dist: sacremoses (==0.1.1)
Requires-Dist: subword-nmt (>=0.3.6,<0.4.0)
Requires-Dist: torch (>=2.0.0,<3.0.0)
Requires-Dist: transliterate (==1.10.2)
Project-URL: Repository, https://github.com/KartinaTV/laserembeddings
Description-Content-Type: text/markdown

# LASER embeddings

**This project is a fork of [https://github.com/yannvgn/laserembeddings](https://github.com/yannvgn/laserembeddings) with minimal changes.**

✨ **Version 1.2.0. What's new?**
- increased minimal version of Torch, Sacremoses and Python in .toml file

![LASER embeddings maps similar sentences in any language to similar language-agnostic embeddings](laserembeddings.gif)

_laserembeddings_ is a pip-packaged, production-ready port of Facebook Research's [LASER](https://github.com/facebookresearch/LASER) (Language-Agnostic SEntence Representations) to compute multilingual sentence embeddings.

If you want to see full version of description, please go to the original project homepage : [https://github.com/yannvgn/laserembeddings](https://github.com/yannvgn/laserembeddings).

