Scholar
Thomas Wolf
Google Scholar ID: D2H5EFEAAAAJ
Co-founder at HuggingFace
machine learning
deep learning
natural language processing
computational linguistics
artificial
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Citations & Impact
All-time
Citations
46,390
H-index
38
i10-index
56
Publications
20
Co-authors
45
list available
Contact
Twitter
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GitHub
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Publications
11 items
The Sustainability Gap in Robotics: A Large-Scale Survey of Sustainability Awareness in 50,000 Research Articles
2026
Cited
0
LeRobot: An Open-Source Library for End-to-End Robot Learning
2026
Cited
0
Robot Learning: A Tutorial
2025
Cited
0
DABstep: Data Agent Benchmark for Multi-step Reasoning
2025
Cited
0
FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language
2025
Cited
0
SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics
2025
Cited
0
SmolVLM: Redefining small and efficient multimodal models
2025
Cited
2
YourBench: Easy Custom Evaluation Sets for Everyone
2025
Cited
0
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Resume (English only)
Academic Achievements
Led the creation of the Hugging Face Transformers and Datasets open-source libraries
Co-authored the O'Reilly book 'Natural Language Processing with Transformers'
Authored 'The Ultra-scale Playbook' on large-scale AI training
Maintains a technical blog with posts accumulating over 250,000 views by end of 2018
Produces educational videos such as 'The Future of Natural Language Processing'
Research Experience
Conducted research on laser-plasma interactions at the BELLA Center, Lawrence Berkeley National Laboratory
Worked as a Patent Attorney at Cabinet Plasseraud for five years, advising startups and large corporations on intellectual property
Began consulting for Deep Learning/AI/ML startups in 2015, reigniting his interest in ML/DL
Co-founded Hugging Face and led the development of the Transformers and Datasets libraries
Co-organized the BigScience Workshop on Large Language Models, leading to the BLOOM model and dataset
Background
Co-founder and Chief Science Officer (CSO) of Hugging Face
Instrumental in initiating Hugging Face’s open-source, educational, and moonshot efforts
Passionate about building open-source software to make complex research, models, and datasets widely accessible
Advocates for open science in AI/ML and bridges the gap between academia and industrial labs
Current research interests focus on the future of AI and moonshot initiatives
Enjoys creating educational content on AI, ML, and NLP
Co-authors
45 total
Co-author 1
Co-author 2
Co-author 3
Alexander M. Rush
Associate Professor, Cornell University
Co-author 5
Yacine Jernite
Research Scientist, HuggingFace
Quentin Lhoest
Hugging Face
Lewis Tunstall
Hugging Face
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