readme: add initial repo card

README.md

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-Edit this `README.md` markdown file to author your organization card.
+# hmTEAMS - Language Models
+
+Historic Multilingual and Monolingual TEAMS Models. Following languages are currently covered:
+
+* English (British Library Corpus - Books)
+* German (Europeana Newspaper)
+* French (Europeana Newspaper)
+* Finnish (Europeana Newspaper)
+* Swedish (Europeana Newspaper)
+* Dutch (Delpher Corpus)
+
+More details can be found in [our GitHub repository](https://github.com/stefan-it/hmTEAMS).
+
+# Leaderboard
+
+We test our pretrained language models on various datasets from HIPE-2020, HIPE-2022 and Europeana. The following table
+shows an overview of used datasets.
+
+| Language | Dataset                                                                                          | Additional Dataset                                                               |
+|----------|--------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------|
+| English  | [AjMC](https://github.com/hipe-eval/HIPE-2022-data/blob/main/documentation/README-ajmc.md)       | -                                                                                |
+| German   | [AjMC](https://github.com/hipe-eval/HIPE-2022-data/blob/main/documentation/README-ajmc.md)       | -                                                                                |
+| French   | [AjMC](https://github.com/hipe-eval/HIPE-2022-data/blob/main/documentation/README-ajmc.md)       | [ICDAR-Europeana](https://github.com/stefan-it/historic-domain-adaptation-icdar) |
+| Finnish  | [NewsEye](https://github.com/hipe-eval/HIPE-2022-data/blob/main/documentation/README-newseye.md) | -                                                                                |
+| Swedish  | [NewsEye](https://github.com/hipe-eval/HIPE-2022-data/blob/main/documentation/README-newseye.md) | -                                                                                |
+| Dutch    | [ICDAR-Europeana](https://github.com/stefan-it/historic-domain-adaptation-icdar)                 | -                                                                                |
+
+Results are coming soon!
+
+# Acknowledgements
+
+We thank [Luisa März](https://github.com/LuisaMaerz), [Katharina Schmid](https://github.com/schmika) and
+[Erion Çano](https://github.com/erionc) for their fruitful discussions about Historic Language Models.
+
+Research supported with Cloud TPUs from Google's [TPU Research Cloud](https://sites.research.google/trc/about/) (TRC).
+Many Thanks for providing access to the TPUs ❤️