Update README.md

README.md

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-<span style="color: blue">[KBLab](https://www.kb.se/in-english/research-collaboration/kblab.html)</span> is a national research infrastructure for digital humanities and social science at the <span style="color: blue">[National Library of Sweden](https://kb.se/)</span>. We train models, do experiments and sometimes <span style="color: blue">[blog](https://kb-labb.github.io/)</span>.
+<span style="color: blue">[KBLab](https://www.kb.se/in-english/research-collaboration/kblab.html)</span> is a national research infrastructure for digital humanities and social science at the <span style="color: blue">[National Library of Sweden](https://kb.se/)</span>. We train models, do experiments and sometimes <span style="color: blue">[blog](https://kb-labb.github.io/)</span>.
+
+Some of our most popular models are
+- [the original KB-BERT](https://huggingface.co/KBLab/bert-base-swedish-cased)
+- [a large BERT trained with Megatron-LM](https://huggingface.co/KBLab/megatron-bert-large-swedish-cased-165k)
+- [a Sentence-BERT](https://huggingface.co/KBLab/sentence-bert-swedish-cased)
+- [a NER model trained on a mix of cased and uncased data](https://huggingface.co/KBLab/bert-base-swedish-lowermix-reallysimple-ner)
+- [a wav2vec model](https://huggingface.co/KBLab/wav2vec2-large-voxrex-swedish)
+- [a BART model](https://huggingface.co/KBLab/bart-base-swedish-cased)
+- ...
+
+Additionally we provide previous checkpoints for some models and other models closely related to those above.
+Models related to each other are linked in the respective model cards.
+
+If you are unsure which model fits you best feel free to contact us.
+
+We also provide a variant of the venerable **SUC 3.0** NER-dataset extended by Språkbanken-Text dubbed [SUCX 3.0 - NER](https://huggingface.co/datasets/KBLab/sucx3_ner) and our own Swedish/Norwegian/Danish GLUE-imitation dubbed [ÖverLim](https://huggingface.co/datasets/KBLab/overlim).