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pcl-bert-base-uncased
qiyuw/pcl-bert-base-uncased
pcl-bert-base-uncased is a sentence similarity model from qiyuw. Use it when you need a score for how close two texts are. It is set up for transformers. The card lists the license as mit.
Refer to https://github.com/qiyuw/PeerCL
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At a glance
- Task
- Sentence Similarity
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Oct 12, 2022
- Updated
- Jul 31, 2023
- SHA
- f26bc069
Model card
From the Hugging Face model README
Model Description
Refer to https://github.com/qiyuw/PeerCL
Citation
Cite our paper if PCL helps your work:
@inproceedings{wu-etal-2022-pcl,
title = "{PCL}: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings",
author = "Wu, Qiyu and Tao, Chongyang and Shen, Tao and Xu, Can and Geng, Xiubo and Jiang, Daxin",
booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
month = dec,
year = "2022",
address = "Abu Dhabi, United Arab Emirates",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.emnlp-main.826",
pages = "12052--12066",
}
- Task
- Sentence Similarity
- Library
- transformers
- Type
- bert
- License
- mit
- Languages
- en
- Created
- Oct 12, 2022
- Updated
- Jul 31, 2023