  We present NorBench: a streamlined suite of NLP tasks and probes for
evaluating Norwegian language models (LMs) on standardized data splits and
evaluation metrics. We also introduce a range of new Norwegian language models
(both encoder and encoder-decoder based). Finally, we compare and analyze their
performance, along with other existing LMs, across the different benchmark
tests of NorBench.
