CITATION.cff

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cff-version: 1.2.0
title: Zelda Rose
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Loïc
    family-names: Grobol
    email: loic.grobol@gmail.com
    affiliation: Université Paris Nanterre
    orcid: 'https://orcid.org/0000-0002-4619-7836'
repository-code: 'https://github.com/LoicGrobol/zeldarose'
url: 'https://zeldarose.readthedocs.io'
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.
keywords:
  - transformers
  - nlp
  - neural networks
license: MIT