<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="grobol-2023-zelda">
    <titleInfo>
        <title>Zelda Rose: a tool for hassle-free training of transformer models</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Loïc</namePart>
        <namePart type="family">Grobol</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2023-12</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 3rd Workshop for Natural Language Processing Open Source Software (NLP-OSS 2023)</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Liling</namePart>
            <namePart type="family">Tan</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Dmitrijs</namePart>
            <namePart type="family">Milajevs</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Geeticka</namePart>
            <namePart type="family">Chauhan</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Jeremy</namePart>
            <namePart type="family">Gwinnup</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Elijah</namePart>
            <namePart type="family">Rippeth</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Singapore</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <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.</abstract>
    <identifier type="citekey">grobol-2023-zelda</identifier>
    <identifier type="doi">10.18653/v1/2023.nlposs-1.6</identifier>
    <location>
        <url>https://aclanthology.org/2023.nlposs-1.6</url>
    </location>
    <part>
        <date>2023-12</date>
        <extent unit="page">
            <start>54</start>
            <end>58</end>
        </extent>
    </part>
</mods>
</modsCollection>

%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-WS 2023)

• Zelda Rose: a tool for hassle-free training of transformer models (Grobol, NLPOSS-WS 2023)

ACL

• Loïc Grobol. 2023. Zelda Rose: a tool for hassle-free training of transformer models. In Proceedings of the 3rd Workshop for Natural Language Processing Open Source Software (NLP-OSS 2023), pages 54–58, Singapore. Association for Computational Linguistics.