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update README
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asahi417 committed Aug 11, 2022
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3 changes: 2 additions & 1 deletion README.md
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# T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition

***T-NER*** is a python tool for language model finetuning on named-entity-recognition (NER) implemented in pytorch, available via [pip](https://pypi.org/project/tner/).
It has an easy interface to finetune models and test on cross-domain and multilingual datasets. T-NER currently integrates 9 publicly available NER datasets and enables an easy integration of custom datasets.
It has an easy interface to finetune models and test on cross-domain and multilingual datasets.
T-NER currently integrates high coverage of publicly available NER datasets and enables an easy integration of custom datasets.
All models finetuned with T-NER can be deployed on our web app for visualization.
[Our paper demonstrating T-NER](https://www.aclweb.org/anthology/2021.eacl-demos.7/) has been accepted to EACL 2021.
All the models and datasets are shared via [T-NER HuggingFace group](https://huggingface.co/tner).
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2 changes: 1 addition & 1 deletion setup.py
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with open('README.md', 'r') as f:
readme = f.read()
version = '0.1.0'
version = '0.1.1'
setup(
name='tner',
packages=find_packages(exclude=["asset", "examples", "static", "templates", "tests"]),
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