TNER

Hosting models and datasets for T-NER, which is a python tool for language model fine-tuning on named-entity-recognition (NER) implemented in pytorch, available via pip.

Install tner via pip,

   
      pip install tner
   

and play with NER models.

   
      from tner import TransformersNER
      model = TransformersNER('tner/roberta-large-conll2003')
      output = model.prediction(["Jacob Collier is a Grammy awarded artist from London"])
   

See more information bellow.

•   - GitHub: https://github.com/asahi417/tner
•   - Model List: https://github.com/asahi417/tner/blob/master/MODEL_CARD.md
•   - Dataset List: https://github.com/asahi417/tner/blob/master/DATASET_CARD.md
•   - Paper: T-NER (EACL 2021 demo), TweetNER7 (AACL 2022 long paper)