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<p>
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Hosting models and datasets for <a href="https://github.com/asahi417/tner">T-NER</a>, which is a python tool for language model fine-tuning on named-entity-recognition (NER) implemented in pytorch, available via [pip](https://pypi.org/project/tner/).
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- Paper: <a href="https://aclanthology.org/2021.eacl-demos.7/">https://aclanthology.org/2021.eacl-demos.7/</a>
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- HuggingFace: <a href="https://huggingface.co/tner">https://huggingface.co/tner</a>
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- PyPI: <a href="https://pypi.org/project/tner">https://pypi.org/project/tner</a>
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<pre class="line-numbers">
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<code class="language-python">
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pip install tner
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</code>
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</pre>
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<br>
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Hosting models and datasets for <a href="https://github.com/asahi417/tner">T-NER</a>, which is a python tool for language model fine-tuning on named-entity-recognition (NER) implemented in pytorch, available via [pip](https://pypi.org/project/tner/).
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Install tner via pip,
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<pre class="line-numbers">
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<code class="language-python">
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pip install tner
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</code>
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</pre>
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and play with NER models.
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<pre class="line-numbers">
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<code class="language-python">
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from tner import TransformersNER
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model = TransformersNER('tner/roberta-large-conll2003')
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output = model.prediction(["Jacob Collier is a Grammy awarded English artist from London"])
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</code>
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</pre>
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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/tner">https://github.com/asahi417/tner</a></li>
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<li> - Paper: <a href="https://aclanthology.org/2021.eacl-demos.7/">https://aclanthology.org/2021.eacl-demos.7/</a></li>
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<li> - HuggingFace: <a href="https://huggingface.co/tner">https://huggingface.co/tner</a></li>
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<li> - PyPI: <a href="https://pypi.org/project/tner">https://pypi.org/project/tner</a></li>
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</ul>
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