923 lines
53 KiB
Clojure
923 lines
53 KiB
Clojure
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:content {:text "An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry"},
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:content {:text "Deep Neural Networks (DNNs) are being adopted as components in software systems"},
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:content {:text "reuse large-scale pre-trained models (PTMs) andfine-tune these models for downstream tasks"},
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:content {:text " Prior works have studied reuse practices for traditional software packages to guide software engineers towards better package maintenance and dependency managemen"},
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:content {:text ". We lack a similar foundation of knowledge to guide behaviors in pre-trained model ecosystems"},
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:content {:text "decision-making process for PTM reuse"},
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:content {:text "reproducibility"},
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:content {:text "The common unit of reuse on Hugging Face is the repository, classified into datasets (input/output data for supervised or unsupervised learning) and models (PTM architecture, weights, and configuration, cf. Figure 2)"},
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:content {:text "Organization Verification"},
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:content {:text "Out of 6,243 organizations, only199 (3.19%) were verified"},
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:content {:text "Universal Dependencies dataset [79] is the most popular dataset on Hugging Face, with6,834 models depending upon it"},
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:extra {:page 5}}
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