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title: README |
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emoji: 📈 |
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colorTo: indigo |
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sdk: static |
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pinned: false |
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--- |
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<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'"/> |
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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 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> - 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> |
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<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> |
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<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> |
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</ul> |
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