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wikipedia2vec_zhwiki_20180420_300d
Word2vec/wikipedia2vec_zhwiki_20180420_300d
wikipedia2vec_zhwiki_20180420_300d is a machine learning model from Word2vec. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Pretrained Word2vec in Chinese. For more information, see https://wikipedia2vec.github.io/wikipedia2vec/pretrained/.
Access
Public
Updated Jul 8, 2023
Repo size
6.6 GB
Likes
2
Public
Repo makeup
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- May 17, 2023
- Updated
- Jul 8, 2023
- SHA
- ded2d13a
Datasets
Model card
From the Hugging Face model README
Information
Pretrained Word2vec in Chinese. For more information, see 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_zhwiki_20180420_300d", filename="zhwiki_20180420_300d.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}
}
- License
- apache-2.0
- Languages
- zh
- Created
- May 17, 2023
- Updated
- Jul 8, 2023