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import fasttext.util
ft = fasttext.load_model('cbow.uk.300.bin')
ft.get_word_vector('привіт')1@inproceedings{romanyshyn-etal-2023-learning,
2 title = "Learning Word Embeddings for {U}krainian: A Comparative Study of Fast{T}ext Hyperparameters",
3 author = "Romanyshyn, Nataliia and
4 Chaplynskyi, Dmytro and
5 Zakharov, Kyrylo",
6 booktitle = "Proceedings of the Second Ukrainian Natural Language Processing Workshop",
7 month = may,
8 year = "2023",
9 address = "Dubrovnik, Croatia",
10 publisher = "Association for Computational Linguistics",
11 url = "https://aclanthology.org/2023.unlp-1.3",
12 pages = "20--31",
13}