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