@inproceedings{garbas-etal-2025-transformerranker,
    title = "{T}ransformer{R}anker: A Tool for Efficiently Finding the Best-Suited Language Models for Downstream Classification Tasks",
    author = "Garbas, Lukas  and
      Ploner, Max  and
      Akbik, Alan",
    editor = "Dziri, Nouha  and
      Ren, Sean (Xiang)  and
      Diao, Shizhe",
    booktitle = "Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (System Demonstrations)",
    month = apr,
    year = "2025",
    address = "Albuquerque, New Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2025.naacl-demo.25/",
    pages = "295--302",
    ISBN = "979-8-89176-191-9"
}