Create README.md
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README.md
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---
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license: apache-2.0
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tags:
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- word2vec
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datasets:
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- wikipedia
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language:
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- en
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---
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## Information
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Pretrained Word2vec in English. For more information, see [https://wikipedia2vec.github.io/wikipedia2vec/pretrained/](https://wikipedia2vec.github.io/wikipedia2vec/pretrained/).
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## How to use?
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```
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from gensim.models import KeyedVectors
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from huggingface_hub import hf_hub_download
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model = KeyedVectors.load_word2vec_format(hf_hub_download(repo_id="Word2vec/wikipedia2vec_enwiki_20180420_nolg_500d", filename="enwiki_20180420_nolg_500d.txt"))
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model.most_similar("your_word")
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```
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## Citation
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```
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@inproceedings{yamada2020wikipedia2vec,
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title = "{W}ikipedia2{V}ec: An Efficient Toolkit for Learning and Visualizing the Embeddings of Words and Entities from {W}ikipedia",
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author={Yamada, Ikuya and Asai, Akari and Sakuma, Jin and Shindo, Hiroyuki and Takeda, Hideaki and Takefuji, Yoshiyasu and Matsumoto, Yuji},
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booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations},
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year = {2020},
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publisher = {Association for Computational Linguistics},
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pages = {23--30}
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}
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```
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