Language model fine-tuning on NER with an easy interface and cross-domain evaluation. "T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition, EACL 2021"
Fine-tune language models for recognizing names and entities in text, with easy testing across different languages.
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Free · no card · unsubscribe anytimeLanguage model fine-tuning on NER with an easy interface and cross-domain evaluation. "T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition, EACL 2021"
tner has 397 stars on GitHub. It has been forked 44 times. tner is written mainly in Python. It has been in active development since 2020. tner is available under the MIT license. Its main topics are language-model, named-entity-recognition, nlp, transformers.
Language model fine-tuning on NER with an easy interface and cross-domain evaluation. "T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition, EACL 2021"
tner is an open-source project. It is released under the MIT license.
Yes. tner is free and open source — you can use, modify and self-host it.
tner is available under the MIT license.
tner is written mainly in Python.
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