Research Archive
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Historical artifacts from SBERT-WK, RSE, InstructDS, and earlier research. No longer maintained; retained for reproducibility. • 32 items • Updated
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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No longer actively maintained.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-RoBERTa-base-Transfer is trained with 2 relations including:
- entailment
- paraphrase
The RoBERTa-base model is used as initialization.
It can be used ideally for Transfer datasets - (Downstream Tasks).
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# Load model directly from transformers import AutoTokenizer, RoBERTaForRSE tokenizer = AutoTokenizer.from_pretrained("binwang/RSE-RoBERTa-base-Transfer") model = RoBERTaForRSE.from_pretrained("binwang/RSE-RoBERTa-base-Transfer", device_map="auto")