Analyzing the Evolution and Maintenance of ML Models on Hugging Face

Author:

Castaño Joel1ORCID,Martínez-Fernández Silverio1ORCID,Franch Xavier1ORCID,Bogner Justus2ORCID

Affiliation:

1. Universitat Politècnica de Catalunya, Barcelona, Spain

2. Vrije Universiteit Amsterdam, Amsterdam, Netherlands

Publisher

ACM

Reference45 articles.

1. Hugging Face Inc. "Hugging Face Hub Documentation " https://huggingface.co/docs/hub/index 2023.

2. W. Jiang, N. Synovic, M. Hyatt, T. R. Schorlemmer, R. Sethi, Y.-H. Lu, G. K. Thiruvathukal, and J. C. Davis, "An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry," in 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE). Melbourne, Australia: IEEE, May 2023, pp. 2463--2475. [Online]. Available: https://ieeexplore.ieee.org/document/10172757/

3. J. Castaño, S. Martínez-Fernández, X. Franch, and J. Bogner, "Exploring the Carbon Footprint of Hugging Face's ML Models: A Repository Mining Study," in ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM). New Orleans, LA, USA: IEEE, 2023.

4. What Is the Intended Usage Context of This Model? An Exploratory Study of Pre-Trained Models on Various Model Repositories

5. Machine Learning: Algorithms, Real-World Applications and Research Directions

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