An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry

Understand

Deep Neural Networks (DNNs) are being adopted as components in software systems.

• Creating and specializing DNNs from scratch has grown increasingly difficult as state-of-the-art architectures grow more complex.
• Following the path of traditional software engineering, machine learning engineers have begun to reuse large-scale pre-trained models (PTMs) and fine-tune these models for downstream tasks.
• Prior works have studied reuse practices for traditional software packages to guide software engineers towards better package maintenance and dependency management.