  We present nerblackbox, a python library to facilitate the use of
state-of-the-art transformer-based models for named entity recognition. It
provides simple-to-use yet powerful methods to access data and models from a
wide range of sources, for fully automated model training and evaluation as
well as versatile model inference. While many technical challenges are solved
and hidden from the user by default, nerblackbox also offers fine-grained
control and a rich set of customizable features. It is thus targeted both at
application-oriented developers as well as machine learning experts and
researchers.
