--- title: README emoji: 📈 colorFrom: gray colorTo: indigo sdk: static pinned: false ---
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](https://pypi.org/project/tner/). 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.

| Description | Link | |---------------------------|-------| | Model Finetuning & Evaluation | [![Sample](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1AlcTbEsp8W11yflT7SyT0L4C4HG6MXYr?usp=sharing) | | Model Prediction | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1mQ_kQWeZkVs6LgV0KawHxHckFraYcFfO?usp=sharing) | | Multilingual NER Workflow | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1Mq0UisC2dwlVMP9ar2Cf6h5b1T-7Tdwb?usp=sharing) |