nerblackbox 0.0.11

fine-tune transformer-based language models for named entity recognition

A python package to fine-tune transformer-based language models for named entity recognition (NER).

Resources

• Source Code: https://github.com/af-ai-center/nerblackbox
• Documentation: https://af-ai-center.github.io/nerblackbox
• PyPI: https://pypi.org/project/nerblackbox

About

Transformer-based language models like BERT have had a game-changing impact on Natural Language Processing.

In order to utilize Hugging Face’s publicly accessible pretrained models for Named Entity Recognition, one needs to retrain (or “fine-tune”) them using labeled text.

nerblackbox makes this easy.

You give it

• a Dataset (labeled text)
• a Pretrained Model (transformers)

and you get

• the best Fine-tuned Model
• its Performance on the dataset

Installation

pip install nerblackbox

Usage

see documentation: https://af-ai-center.github.io/nerblackbox

Citation

@misc{nerblackbox,
  author = {Stollenwerk, Felix},
  title  = {nerblackbox: a python package to fine-tune transformer-based language models for named entity recognition},
  year   = {2021},
  url    = {https://github.com/af-ai-center/nerblackbox},
}