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<img src="https://raw.githubusercontent.com/asahi417/relbert/test/assets/relbert_logo.png" alt="" width="150" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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<h1>RelBERT</h1>
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High-quality semantic representative embedding of word pairs powered by pre-trained language model.
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All you need is to install <a href="https://pypi.org/project/relbert/">relbert</a> library by <b> pip install relbert</b> and explore in python as below.
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<img src="https://raw.githubusercontent.com/asahi417/relbert/test/assets/relbert_logo.png" alt="" width="150" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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High-quality semantic representative embedding of word pairs powered by pre-trained language model.
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All you need is to install <a href="https://pypi.org/project/relbert/">relbert</a> library by <b> pip install relbert</b> and explore in python as below.
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