Victor Sanh

Researcher, Hugging Face

Joined

December 2019

Names

Victor Sanh

Emails

****@gmail.com (Confirmed)

****@huggingface.co (Confirmed)

****@hcompany.ai (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Researcher

Hugging Face (huggingface.co)

2018 – Present

MS student

Ecole Normale Superieure (ens-paris-saclay.fr)

2017 – 2018

MS student

ENPC (enpc.fr)

2014 – 2018

Advisors, Relations & Conflicts

No relations added

Expertise

Natural Language Processing

Present

Machine Learning

Present

Publications

Building and better understanding vision-language models: insights and future directions
Hugo Laurençon, Andrés Marafioti, Victor Sanh, Leo Tronchon
- NeurIPS 2024 Workshop RBFM Poster
- Readers: Everyone
The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources
Shayne Longpre, Stella Biderman, Alon Albalak, Hailey Schoelkopf, Daniel McDuff, Sayash Kapoor, Kevin Klyman, Kyle Lo, Gabriel Ilharco, Nay San, Maribeth Rauh, Aviya Skowron, Bertie Vidgen, Laura Weidinger, Arvind Narayanan, Victor Sanh, David Ifeoluwa Adelani, Percy Liang, Rishi Bommasani, Peter Henderson et al. (3 additional authors not shown)
- Accepted by TMLR
- Readers: Everyone
What matters when building vision-language models?
Hugo Laurençon, Leo Tronchon, Matthieu Cord, Victor Sanh
- NeurIPS 2024 poster
- Readers: Everyone
OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents
Hugo Laurençon, Lucile Saulnier, Leo Tronchon, Stas Bekman, Amanpreet Singh, Anton Lozhkov, Thomas Wang, Siddharth Karamcheti, Alexander M Rush, Douwe Kiela, Matthieu Cord, Victor Sanh
- NeurIPS 2023 Datasets and Benchmarks Poster
- Readers: Everyone
What Language Model to Train if You Have One Million GPU Hours?
Teven Le Scao, Thomas Wang, Daniel Hesslow, Lucile Saulnier, Stas Bekman, M Saiful Bari, Stella Biderman, Hady Elsahar, Jason Phang, Ofir Press, Colin Raffel, Victor Sanh, Sheng Shen, Lintang Sutawika, Jaesung Tae, Zheng Xin Yong, Julien Launay, Iz Beltagy
- Published: 11 Apr 2022, Last Modified: 08 Feb 2026
- BigScience#5
- Readers: Everyone
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh, Albert Webson, Colin Raffel, Stephen Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Arun Raja, Manan Dey, M Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal Nayak, Debajyoti Datta, Jonathan Chang et al. (20 additional authors not shown)
- Published: 28 Jan 2022, Last Modified: 12 Oct 2025
- ICLR 2022 Spotlight
- Readers: Everyone
Learning from others' mistakes: Avoiding dataset biases without modeling them
Victor Sanh, Thomas Wolf, Yonatan Belinkov, Alexander M Rush
- Published: 12 Jan 2021, Last Modified: 05 May 2023
- ICLR 2021 Poster
- Readers: Everyone
Transformers: State-of-the-Art Natural Language Processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame et al. (2 additional authors not shown)
- 2020 (modified: 01 Feb 2026)
- EMNLP (Demos) 2020
- Readers: Everyone
Movement Pruning: Adaptive Sparsity by Fine-Tuning
Victor Sanh, Thomas Wolf, Alexander M. Rush
- 2020 (modified: 01 Feb 2026)
- NeurIPS 2020
- Readers: Everyone
EdgeBERT: Optimizing On-Chip Inference for Multi-Task NLP
Thierry Tambe, Coleman Hooper, Lillian Pentecost, En-Yu Yang, Marco Donato, Victor Sanh, Alexander M. Rush, David Brooks, Gu-Yeon Wei
- 2020 (modified: 26 May 2026)
- CoRR 2020
- Readers: Everyone

View all 13 publications

Co-Authors

View all 103 co-authors