| --- |
| language: eng |
| license: cc-by-4.0 |
| tags: |
| - word2vec |
| datasets: English_Wikipedia_Dump_of_February_2017 |
| --- |
| |
| ## Information |
| A word2vec model trained by Andrey Kutuzov (andreku@ifi.uio.no) on a vocabulary of size 260073 corresponding to 2252637050 tokens from the dataset `English_Wikipedia_Dump_of_February_2017`. |
| The model is trained with the following properties: lemmatization and postag with the algorith fastText Skipgram with window of 5 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_21", 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/20/21.zip |
