| --- |
| license: apache-2.0 |
| tags: |
| - word2vec |
| datasets: |
| - wikipedia |
| language: |
| - en |
| --- |
| |
| ## Information |
| Pretrained Word2vec in English. For more information, see [https://wikipedia2vec.github.io/wikipedia2vec/pretrained/](https://wikipedia2vec.github.io/wikipedia2vec/pretrained/). |
|
|
| ## 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/wikipedia2vec_enwiki_20180420_500d", filename="enwiki_20180420_500d.txt")) |
| model.most_similar("your_word") |
| ``` |
|
|
| ## Citation |
| ``` |
| @inproceedings{yamada2020wikipedia2vec, |
| title = "{W}ikipedia2{V}ec: An Efficient Toolkit for Learning and Visualizing the Embeddings of Words and Entities from {W}ikipedia", |
| author={Yamada, Ikuya and Asai, Akari and Sakuma, Jin and Shindo, Hiroyuki and Takeda, Hideaki and Takefuji, Yoshiyasu and Matsumoto, Yuji}, |
| booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations}, |
| year = {2020}, |
| publisher = {Association for Computational Linguistics}, |
| pages = {23--30} |
| } |
| ``` |
|
|
