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---
title: README
emoji: 📈
colorFrom: gray
colorTo: indigo
sdk: static
pinned: false
---
<img src="https://raw.githubusercontent.com/asahi417/tner/master/asset/tner_logo_horizontal.png" alt="" width="150" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
<br>
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/).
Install tner via pip,
<pre class="line-numbers">
<code class="language-python">
pip install tner
</code>
</pre>
and play with NER models.
<pre class="line-numbers">
<code class="language-python">
from tner import TransformersNER
model = TransformersNER('tner/roberta-large-conll2003')
output = model.prediction(["Jacob Collier is a Grammy awarded artist from London"])
</code>
</pre>
See more information bellow.
<ul>
<li> - GitHub: <a href="https://github.com/asahi417/tner">https://github.com/asahi417/tner</a></li>
<li> - Model List: <a href="https://github.com/asahi417/tner/blob/master/MODEL_CARD.md">https://github.com/asahi417/tner/blob/master/MODEL_CARD.md</a></li>
<li> - Dataset List: <a href="https://github.com/asahi417/tner/blob/master/DATASET_CARD.md">https://github.com/asahi417/tner/blob/master/DATASET_CARD.md</a></li>
<li> - Paper: <a href="https://aclanthology.org/2021.eacl-demos.7/">T-NER (EACL 2021 demo)</a>, <a href="https://arxiv.org/abs/2210.03797">TweetNER7 (AACL 2022 long paper)</a></li>
</ul>
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