| 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 | 14448* | 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 | 7160 | 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 | 1398 | 2021 |
| Bloom: A 176b-parameter open-access multilingual language model T Le Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ... | 1350 | 2023 |
| 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 | 707 | 2019 |
| 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 | 513* | 2023 |
| 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 | 511 | 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 | 479* | 2021 |
| Movement pruning: Adaptive sparsity by fine-tuning V Sanh, T Wolf, A Rush Advances in neural information processing systems 33, 20378-20389, 2020 | 400 | 2020 |
| 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 | 343 | 2010 |
| Natural language processing with transformers L Tunstall, L Von Werra, T Wolf " O'Reilly Media, Inc.", 2022 | 305 | 2022 |
| Diffusers: State-of-the-art diffusion models P Von Platen, S Patil, A Lozhkov, P Cuenca, N Lambert, K Rasul, ... | 292 | 2022 |
| 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 | 263 | 2019 |
| Zephyr: Direct distillation of lm alignment L Tunstall, E Beeching, N Lambert, N Rajani, K Rasul, Y Belkada, ... arXiv preprint arXiv:2310.16944, 2023 | 245 | 2023 |
| Open llm leaderboard E Beeching, C Fourrier, N Habib, S Han, N Lambert, N Rajani, ... Hugging Face, 2023 | 200 | 2023 |
| 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 | 179 | 2022 |
| Scaling data-constrained language models N Muennighoff, A Rush, B Barak, T Le Scao, N Tazi, A Piktus, S Pyysalo, ... Advances in Neural Information Processing Systems 36, 2024 | 119 | 2024 |
| 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 | 103 | 2019 |
| Distilbert, a distilled version of BERT: smaller, faster, cheaper and lighter. CoRR abs/1910.01108 (2019) V Sanh, L Debut, J Chaumond, T Wolf URL: http://arxiv. org/abs/1910 1108, 1910 | 102 | 1910 |
| Grounding large language models in interactive environments with online reinforcement learning T Carta, C Romac, T Wolf, S Lamprier, O Sigaud, PY Oudeyer International Conference on Machine Learning, 3676-3713, 2023 | 91 | 2023 |
Victor SanhHugging FaceVerified email at huggingface.co
