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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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All you need is to install <a href="https://pypi.org/project/relbert/">relbert</a> library by
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<pre class="line-numbers">
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<code class="language-python">
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See more information bellow.
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<ul>
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<li
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</ul>
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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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RelBERT is a 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
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<pre class="line-numbers">
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<code class="language-python">
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pip install relbert
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</code>
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</pre>
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and explore in python as below.
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<pre class="line-numbers">
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<code class="language-python">
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See more information bellow.
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<ul>
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<li>\t <a href="https://arxiv.org/abs/2110.15705">RelBERT paper (EMNLP 2021 main conference) </a></li>
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<li>\t <a href="https://github.com/asahi417/relbert">GitHub</a></li>
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<li>\t <a href="https://pypi.org/project/relbert">pip</a></li>
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</ul>
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