Exploring the Carbon Footprint of Hugging Face's ML Models: A Repository Mining Study

Author:

Castaño Joel1,Martínez-Fernández Silverio1,Franch Xavier1,Bogner Justus2

Affiliation:

1. Universitat Politècnica de Catalunya,Barcelona,Spain

2. University of Stuttgart,Stuttgart,Germany

Funder

European Union

Publisher

IEEE

Reference43 articles.

1. Green AI

2. Holm's sequential bonferroni procedure;abdi;Encyclopedia of Research Design,2010

3. Green IT and Green Software

4. The goal question metric approach;caldiera;Encyclopedia of Software Engineering,1994

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1. GAISSALabel: A Tool for Energy Labeling of ML Models;Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering;2024-07-10

2. The AI community building the future? A quantitative analysis of development activity on Hugging Face Hub;Journal of Computational Social Science;2024-06-24

3. Towards more sustainable and trustworthy reporting in machine learning;Data Mining and Knowledge Discovery;2024-04-30

4. How do Hugging Face Models Document Datasets, Bias, and Licenses? An Empirical Study;Proceedings of the 32nd IEEE/ACM International Conference on Program Comprehension;2024-04-15

5. Deep Learning Model Reuse in the HuggingFace Community: Challenges, Benefit and Trends;2024 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER);2024-03-12

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