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Exploring the Carbon Footprint of Hugging Face's ML Models:..:
, In:
2023 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)
,
Castano, Joel
;
Martinez-Fernandez, Silverio
;
Franch, Xavier
. - p. 1-12 , 2023
Link:
https://doi.org/10.1109/ESEM56168.2023.10304801
RT T1 <cTitle>2023 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)</cTitle>: T1 <Title>Exploring the Carbon Footprint of Hugging Face's ML Models: A Repository Mining Study</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10304801&Exemplar=1&LAN=DE A1 Castano, Joel A1 Martinez-Fernandez, Silverio A1 Franch, Xavier A1 Bogner, Justus YR 2023 K1 Training K1 Correlation K1 Green products K1 Carbon dioxide K1 Energy efficiency K1 Software measurement K1 Data mining K1 repository mining K1 software measurement K1 sustainable software K1 green AI K1 carbon-aware ML K1 carbon-efficient ML SP 1 OP 12 LK http://dx.doi.org/https://doi.org/10.1109/ESEM56168.2023.10304801 DO https://doi.org/10.1109/ESEM56168.2023.10304801 SF ELIB - SuUB Bremen
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