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On the Compression of Language Models for Code: An Empirical Study on CodeBERT

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	d'Aloisio, Giordano, Traini, Luca, Sarro, Federica, Di Marco, Antinisca
Format:	Preprint
Publié:	2024
Sujets:	Software Engineering Artificial Intelligence Performance
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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