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

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Bui, Nghi D. Q., Le, Hung, Wang, Yue, Li, Junnan, Gotmare, Akhilesh Deepak, Hoi, Steven C. H.
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Software Engineering Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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