@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://aclanthology.org/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."
}
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%0 Conference Proceedings
%T Zelda Rose: a tool for hassle-free training of transformer models
%A Grobol, Loïc
%Y Tan, Liling
%Y Milajevs, Dmitrijs
%Y Chauhan, Geeticka
%Y Gwinnup, Jeremy
%Y Rippeth, Elijah
%S Proceedings of the 3rd Workshop for Natural Language Processing Open Source Software (NLP-OSS 2023)
%D 2023
%8 December
%I Association for Computational Linguistics
%C Singapore
%F grobol-2023-zelda
%X 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.
%R 10.18653/v1/2023.nlposs-1.6
%U https://aclanthology.org/2023.nlposs-1.6/
%U https://doi.org/10.18653/v1/2023.nlposs-1.6
%P 54-58
Markdown (Informal)
[Zelda Rose: a tool for hassle-free training of transformer models](https://aclanthology.org/2023.nlposs-1.6/) (Grobol, NLPOSS 2023)
ACL