| | --- |
| | language: rus |
| | license: cc-by-4.0 |
| | tags: |
| | - word2vec |
| | datasets: Russian_National_Corpus |
| | --- |
| | |
| | ## Information |
| | A word2vec model trained by Andrey Kutuzov (andreku@ifi.uio.no) on a vocabulary of size 189193 corresponding to 270000000 tokens from the dataset `Russian_National_Corpus`. |
| | The model is trained with the following properties: lemmatization and postag with the algorith Gensim Continuous Bag-of-Words with window of 20 and dimension of 300. |
| |
|
| | ## How to use? |
| | ``` |
| | from gensim.models import KeyedVectors |
| | from huggingface_hub import hf_hub_download |
| | model = KeyedVectors.load_word2vec_format(hf_hub_download(repo_id="Word2vec/nlpl_180", filename="model.bin"), binary=True, unicode_errors="ignore") |
| | ``` |
| |
|
| | ## Citation |
| | Fares, Murhaf; Kutuzov, Andrei; Oepen, Stephan & Velldal, Erik (2017). Word vectors, reuse, and replicability: Towards a community repository of large-text resources, In Jörg Tiedemann (ed.), Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, 22-24 May 2017. Linköping University Electronic Press. ISBN 978-91-7685-601-7 |
| |
|
| | This archive is part of the NLPL Word Vectors Repository (http://vectors.nlpl.eu/repository/), version 2.0, published on Friday, December 27, 2019. |
| | Please see the file 'meta.json' in this archive and the overall repository metadata file http://vectors.nlpl.eu/repository/20.json for additional information. |
| | The life-time identifier for this model is: http://vectors.nlpl.eu/repository/20/180.zip |
| |
|
