@inproceedings{grobol-2023-zelda,
    title = "Zelda Rose: a tool for hassle-free training of transformer models",
    author = {Grobol, Lo{\"i}c},
    editor = "Tan, Liling  and
      Milajevs, Dmitrijs  and
      Chauhan, Geeticka  and
      Gwinnup, Jeremy  and
      Rippeth, Elijah",
    booktitle = "Proceedings of the 3rd Workshop for Natural Language Processing Open Source Software (NLP-OSS 2023)",
    month = dec,
    year = "2023",
    address = "Singapore",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/landing_page/2023.nlposs-1.6/",
    doi = "10.18653/v1/2023.nlposs-1.6",
    pages = "54--58",
    abstract = "Zelda Rose is a command line interface for pretraining transformer-based models. Its purpose is to enable an easy start for users interested in training these ubiquitous models, but unable or unwilling to engage with more comprehensive {---} but more complex {---} frameworks and the complex interactions between libraries for managing models, datasets and computations. Training a model requires no code on the user{'}s part and produce models directly compatible with the HuggingFace ecosystem, allowing quick and easy distribution and reuse. A particular care is given to lowering the cost of maintainability and future-proofing, by making the code as modular as possible and taking advantage of third-party libraries to limit ad-hoc code to the strict minimum."
}