What do we know about Hugging Face? A systematic literature review and quantitative validation of qualitative claims

J Jones, W Jiang, N Synovic, G Thiruvathukal… - Proceedings of the 18th …, 2024 - dl.acm.org
Background: Software Package Registries (SPRs) are an integral part of the software supply
chain. These collaborative platforms unite contributors, users, and code for streamlined …

The AI community building the future? A quantitative analysis of development activity on Hugging Face Hub

C Osborne, J Ding, HR Kirk - Journal of Computational Social Science, 2024 - Springer
Open model developers have emerged as key actors in the political economy of artificial
intelligence (AI), but we still have a limited understanding of collaborative practices in the …

Analyzing the evolution and maintenance of ml models on hugging face

J Castaño, S Martínez-Fernández… - 2024 IEEE/ACM 21st …, 2024 - ieeexplore.ieee.org
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 …

Environmentally sustainable software design and development: a systematic literature review

O Danushi, S Forti, J Soldani - arXiv preprint arXiv:2407.19901, 2024 - arxiv.org
The ICT sector, responsible for 2% of global carbon emissions and significant energy
consumption, is under scrutiny calling for methodologies and tools to design and develop …

Ecosystem of large language models for code

Z Yang, J Shi, P Devanbu, D Lo - arXiv preprint arXiv:2405.16746, 2024 - arxiv.org
The availability of vast amounts of publicly accessible data of source code and the advances
in modern language models, coupled with increasing computational resources, have led to …

Peatmoss: A dataset and initial analysis of pre-trained models in open-source software

W Jiang, J Yasmin, J Jones, N Synovic… - 2024 IEEE/ACM 21st …, 2024 - ieeexplore.ieee.org
The development and training of deep learning models have become increasingly costly
and complex. Consequently, software engineers are adopting pre-trained models (PTMs) for …

Do DL models and training environments have an impact on energy consumption?

S del Rey, S Martínez-Fernández… - 2023 49th Euromicro …, 2023 - ieeexplore.ieee.org
Current research in the computer vision field mainly focuses on improving Deep Learning
(DL) correctness and inference time performance. However, there is still little work on the …

Innovating for Tomorrow: The convergence of SE and Green AI

L Cruz, XF Gutierrez, S Martínez-Fernández - arXiv preprint arXiv …, 2024 - arxiv.org
The latest advancements in machine learning, specifically in foundation models, are
revolutionizing the frontiers of existing software engineering (SE) processes. This is a bi …

Deep learning model reuse in the huggingface community: Challenges, benefit and trends

M Taraghi, G Dorcelus, A Foundjem, F Tambon… - arXiv preprint arXiv …, 2024 - arxiv.org
The ubiquity of large-scale Pre-Trained Models (PTMs) is on the rise, sparking interest in
model hubs, and dedicated platforms for hosting PTMs. Despite this trend, a comprehensive …

How do machine learning models change?

J Castaño, R Cabañas, A Salmerón, D Lo… - arXiv preprint arXiv …, 2024 - arxiv.org
The proliferation of Machine Learning (ML) models and their open-source implementations
has transformed Artificial Intelligence research and applications. Platforms like Hugging …