Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Debut, Lysandre"'
Autor:
Lhoest, Quentin, del Moral, Albert Villanova, Jernite, Yacine, Thakur, Abhishek, von Platen, Patrick, Patil, Suraj, Chaumond, Julien, Drame, Mariama, Plu, Julien, Tunstall, Lewis, Davison, Joe, Šaško, Mario, Chhablani, Gunjan, Malik, Bhavitvya, Brandeis, Simon, Scao, Teven Le, Sanh, Victor, Xu, Canwen, Patry, Nicolas, McMillan-Major, Angelina, Schmid, Philipp, Gugger, Sylvain, Delangue, Clément, Matussière, Théo, Debut, Lysandre, Bekman, Stas, Cistac, Pierric, Goehringer, Thibault, Mustar, Victor, Lagunas, François, Rush, Alexander M., Wolf, Thomas
The scale, variety, and quantity of publicly-available NLP datasets has grown rapidly as researchers propose new tasks, larger models, and novel benchmarks. Datasets is a community library for contemporary NLP designed to support this ecosystem. Data
Externí odkaz:
http://arxiv.org/abs/2109.02846
Autor:
Wolf, Thomas, Debut, Lysandre, Sanh, Victor, Chaumond, Julien, Delangue, Clement, Moi, Anthony, Cistac, Pierric, Rault, Tim, Louf, Rémi, Funtowicz, Morgan, Davison, Joe, Shleifer, Sam, von Platen, Patrick, Ma, Clara, Jernite, Yacine, Plu, Julien, Xu, Canwen, Scao, Teven Le, Gugger, Sylvain, Drame, Mariama, Lhoest, Quentin, Rush, Alexander M.
Recent progress in natural language processing has been driven by advances in both model architecture and model pretraining. Transformer architectures have facilitated building higher-capacity models and pretraining has made it possible to effectivel
Externí odkaz:
http://arxiv.org/abs/1910.03771
As Transfer Learning from large-scale pre-trained models becomes more prevalent in Natural Language Processing (NLP), operating these large models in on-the-edge and/or under constrained computational training or inference budgets remains challenging
Externí odkaz:
http://arxiv.org/abs/1910.01108