| Transformers: State-of-the-art natural language processing T Wolf, L Debut, V Sanh, J Chaumond, C Delangue, A Moi, P Cistac, ... Proceedings of the 2020 conference on empirical methods in natural language …, 2020 | 11322* | 2020 |
| DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter V Sanh, L Debut, J Chaumond, T Wolf arXiv preprint arXiv:1910.01108, 2019 | 5448* | 2019 |
| Multitask prompted training enables zero-shot task generalization V Sanh, A Webson, C Raffel, SH Bach, L Sutawika, Z Alyafeai, A Chaffin, ... arXiv preprint arXiv:2110.08207, 2021 | 840 | 2021 |
| Bloom: A 176b-parameter open-access multilingual language model BS Workshop, TL Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, ... arXiv preprint arXiv:2211.05100, 2022 | 713 | 2022 |
| Transfer learning in natural language processing S Ruder, ME Peters, S Swayamdipta, T Wolf Proceedings of the 2019 conference of the North American chapter of the …, 2019 | 605 | 2019 |
| Transfertransfo: A transfer learning approach for neural network based conversational agents T Wolf, V Sanh, J Chaumond, C Delangue arXiv preprint arXiv:1901.08149, 2019 | 462 | 2019 |
| Datasets: A community library for natural language processing Q Lhoest, AV del Moral, Y Jernite, A Thakur, P von Platen, S Patil, ... arXiv preprint arXiv:2109.02846, 2021 | 350* | 2021 |
| Two-dimensional superconductivity at a Mott insulator/band insulator interface LaTiO3/SrTiO3 J Biscaras, N Bergeal, A Kushwaha, T Wolf, A Rastogi, RC Budhani, ... Nature communications 1 (1), 89, 2010 | 329 | 2010 |
| Movement pruning: Adaptive sparsity by fine-tuning V Sanh, T Wolf, A Rush Advances in Neural Information Processing Systems 33, 20378-20389, 2020 | 288 | 2020 |
| A hierarchical multi-task approach for learning embeddings from semantic tasks V Sanh, T Wolf, S Ruder Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6949-6956, 2019 | 248 | 2019 |
| Natural language processing with transformers L Tunstall, L Von Werra, T Wolf " O'Reilly Media, Inc.", 2022 | 159 | 2022 |
| StarCoder: may the source be with you! R Li, LB Allal, Y Zi, N Muennighoff, D Kocetkov, C Mou, M Marone, C Akiki, ... arXiv preprint arXiv:2305.06161, 2023 | 127* | 2023 |
| Diffusers: State-of-the-art diffusion models P von Platen, S Patil, A Lozhkov, P Cuenca, N Lambert, K Rasul, ... | 113 | 2022 |
| Large-scale transfer learning for natural language generation S Golovanov, R Kurbanov, S Nikolenko, K Truskovskyi, A Tselousov, ... Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 93 | 2019 |
| Learning from others' mistakes: Avoiding dataset biases without modeling them V Sanh, T Wolf, Y Belinkov, AM Rush arXiv preprint arXiv:2012.01300, 2020 | 77 | 2020 |
| Huggingface’s transformers: State-of-the-art natural language processing. arXiv T Wolf, L Debut, V Sanh, J Chaumond, C Delangue, A Moi, P Cistac, ... arXiv preprint arXiv:1910.03771, 2019 | 57 | 2019 |
| Strong field-matching effects in superconducting YBaCuO films with vortex energy landscapes engineered via masked ion irradiation I Swiecicki, C Ulysse, T Wolf, R Bernard, N Bergeal, J Briatico, G Faini, ... Physical Review B 85 (22), 224502, 2012 | 57 | 2012 |
| Vimpac: Video pre-training via masked token prediction and contrastive learning H Tan, J Lei, T Wolf, M Bansal arXiv preprint arXiv:2106.11250, 2021 | 52 | 2021 |
| & Rush, AM (2019). Huggingface's transformers: State-of-the-art natural language processing T Wolf, L Debut, V Sanh, J Chaumond, C Delangue, A Moi arXiv preprint arXiv:1910.03771, 1910 | 52 | 1910 |
| The stack: 3 tb of permissively licensed source code D Kocetkov, R Li, LB Allal, J Li, C Mou, CM Ferrandis, Y Jernite, M Mitchell, ... arXiv preprint arXiv:2211.15533, 2022 | 45 | 2022 |
Victor SanhHugging FaceVerified email at huggingface.co
