Research interests

State-of-the-art named entity recognition models across diverse domains.

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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.

spaces 2