
That is the hosted version of our old word vectors, trained on [Ubertext v1.0](https://lang.org.ua/en/corpora/#anchor4).

You can find more of such word vectors on [lang-uk](https://lang.org.ua/en/models/#anchor4). GloVe, lexvec, word2vec, trained on different subcorpora with various text postprocessing (lemmatized, cased, uncased)

Copyright: [Dmytro Chaplynskyi](https://twitter.com/dchaplinsky), [lang-uk project](https://lang.org.ua), 2022
{"language": ["uk"], "license": "mit", "library_name": "generic", "tags": ["text2text-generation", "gensim"], "datasets": ["ubertext1.0"], "widget": [{"text": "\u041f\u043e\u0434\u043e\u0440\u043e\u0436"}, {"text": "\u0413\u043e\u043b\u043e\u0432\u0430"}]}
generic text2text-generation gensim uk dataset:ubertext1.0 license:mit region:us
TAGS
#generic #text2text-generation #gensim #uk #dataset-ubertext1.0 #license-mit #region-us 


That is the hosted version of our old word vectors, trained on Ubertext v1.0.

You can find more of such word vectors on lang-uk. GloVe, lexvec, word2vec, trained on different subcorpora with various text postprocessing (lemmatized, cased, uncased)

Copyright: Dmytro Chaplynskyi, lang-uk project, 2022
TAGS
#generic #text2text-generation #gensim #uk #dataset-ubertext1.0 #license-mit #region-us 

TAGS
#generic #text2text-generation #gensim #uk #dataset-ubertext1.0 #license-mit #region-us 
