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Analyzing the Evolution and Maintenance of ML Models on Hugging Face
Feb. 16, 2024, 5:42 a.m. | Joel Casta\~no, Silverio Mart\'inez-Fern\'andez, Xavier Franch, Justus Bogner
cs.LG updates on arXiv.org arxiv.org
Abstract: Hugging Face (HF) has established itself as a crucial platform for the development and sharing of machine learning (ML) models. This repository mining study, which delves into more than 380,000 models using data gathered via the HF Hub API, aims to explore the community engagement, evolution, and maintenance around models hosted on HF, aspects that have yet to be comprehensively explored in the literature. We first examine the overall growth and popularity of HF, uncovering …
abstract api arxiv community cs.ai cs.lg cs.se data development evolution explore face hub hugging face machine machine learning maintenance mining ml models platform study type via
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