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  <br>
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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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- - GitHub: <a href="https://github.com/asahi417/tner">https://github.com/asahi417/tner</a>
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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>&nbsp; - GitHub: <a href="https://github.com/asahi417/tner">https://github.com/asahi417/tner</a></li>
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+ <li>&nbsp; - Paper: <a href="https://aclanthology.org/2021.eacl-demos.7/">https://aclanthology.org/2021.eacl-demos.7/</a></li>
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+ <li>&nbsp; - HuggingFace: <a href="https://huggingface.co/tner">https://huggingface.co/tner</a></li>
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+ <li>&nbsp; - PyPI: <a href="https://pypi.org/project/tner">https://pypi.org/project/tner</a></li>
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+ </ul>