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pip install relbert1from relbert import RelBERT
2model = RelBERT("relbert/relbert-roberta-base-semeval2012-v6-average-prompt-e-loob-0")
3vector = model.get_embedding(['Tokyo', 'Japan']) # shape of (1024, )
@inproceedings{ushio-etal-2021-distilling-relation-embeddings,
title = "{D}istilling {R}elation {E}mbeddings from {P}re-trained {L}anguage {M}odels",
author = "Ushio, Asahi and
Schockaert, Steven and
Camacho-Collados, Jose",
booktitle = "EMNLP 2021",
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
}