metadata
title: README
emoji: 🔥
colorFrom: red
colorTo: indigo
sdk: static
pinned: false
RelBERT is a high-quality semantic representative embedding of word pairs powered by pre-trained language model. All you need is to install relbert library by
pip install relbert
and explore in python as below.
from relbert import RelBERT
model = RelBERT('asahi417/relbert-roberta-large')
vector = model.get_embedding(['Tokyo', 'Japan']) # shape of (1024, )
See more information bellow.