What do we know about Hugging Face? A systematic literature review and quantitative validation of qualitative claims
Background: Software Package Registries (SPRs) are an integral part of the software supply
chain. These collaborative platforms unite contributors, users, and code for streamlined …
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
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 …
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 …
sharing of machine learning (ML) models. This repository mining study, which delves into …
Environmentally sustainable software design and development: a systematic literature review
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 …
consumption, is under scrutiny calling for methodologies and tools to design and develop …
Ecosystem of large language models for code
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 …
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
The development and training of deep learning models have become increasingly costly
and complex. Consequently, software engineers are adopting pre-trained models (PTMs) for …
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 …
(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 …
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 …
model hubs, and dedicated platforms for hosting PTMs. Despite this trend, a comprehensive …
How do machine learning models change?
The proliferation of Machine Learning (ML) models and their open-source implementations
has transformed Artificial Intelligence research and applications. Platforms like Hugging …
has transformed Artificial Intelligence research and applications. Platforms like Hugging …