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README.md
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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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<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> - RelBERT paper (EMNLP 2021 main conference): <a href="https://arxiv.org/abs/2110.15705">https://arxiv.org/abs/2110.15705</a></li>
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<li> - GitHub: <a href="https://github.com/asahi417/relbert">https://github.com/asahi417/relbert</a></li>
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<li> - PyPI: <a href="https://pypi.org/project/relbert">https://pypi.org/project/relbert</a></li>
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</ul>
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<br>
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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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Install <a href="https://pypi.org/project/relbert/">relbert</a> via pip,
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and play with RelBERT models.
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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> - GitHub: <a href="https://github.com/asahi417/relbert">https://github.com/asahi417/relbert</a></li>
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<li> - Paper (EMNLP 2021 main conference): <a href="https://arxiv.org/abs/2110.15705">https://arxiv.org/abs/2110.15705</a></li>
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<li> - HuggingFace: <a href="https://huggingface.co/relbert">https://huggingface.co/relbert</a></li>
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<li> - PyPI: <a href="https://pypi.org/project/relbert">https://pypi.org/project/relbert</a></li>
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</ul>
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