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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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+
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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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+
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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_win10_100d", filename="enwiki_20180420_win10_100d.txt"))
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+ model.most_similar("your_word")
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+ ```
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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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+ ```