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CodeTF: One-stop Transformer Library for State-of-the-art Code LLMs

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Bui, Nghi D. Q., Le, Hung, Wang, Yue, Li, Junnan, Gotmare, Akhilesh Deepak, Hoi, Steven C. H.
Format:	Preprint
Publié:	2023
Sujets:	Software Engineering Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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