Create README.md

README.md

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+---
+language: eng
+tags:
+- word2vec
+datasets: Google_News_2013
+license: cc-by-4.0
+---
+
+## Information
+A word2vec model trained by Andrey Kutuzov ([email protected]) on a vocabulary of size 2883863 corresponding to 100000000000 tokens from the dataset `Google_News_2013`.
+The model is trained with the following properties: no lemmatization and postag with the algorith Gensim Continuous Skipgram with no window 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/eng_non_lem_postag_300_cont_skip_no_win", 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