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RSE-BERT-base-10-relations
binwang/RSE-BERT-base-10-relations
RSE-BERT-base-10-relations is a machine learning model from binwang. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
No longer actively maintained. Retained for reproducibility of the original work.
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At a glance
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Feb 14, 2023
- Updated
- Sep 6, 2026
- SHA
- 51663340
Model card
From the Hugging Face model README
Historical research checkpoint — RSE
No longer actively maintained. Retained for reproducibility of the original work.
This repository contains one variant of the RSE research models. The repository name identifies the backbone (BERT or RoBERTa), model size (base or large), and experiment variant (STS, USEB, Transfer, or 10-relations). Refer to the original description below for this checkpoint's configuration.
Original model description
The RSE-BERT-base-10-rel is trained with 10 relations including:
- entailment
- contradiction
- neutral
- duplicate_question
- non_duplicate_question
- paraphrase
- same_caption
- qa_entailment
- qa_not_entailment
- same_sent
The BERT-base-uncased model is used as initialization.
It can be used to infer all ten different relations.
- Library
- transformers
- Type
- bert
- Created
- Feb 14, 2023
- Updated
- Sep 6, 2026