菜单
NOT ON THE CURRENT EDITION
This blip is not on the current edition of the radar. If it was on one of the last few editions it is likely that it is still relevant. If the blip is older it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the radarUnderstand more
Nov 2019
评估?

Fairseq是Facebook AI Research的序列到序列建模工具套件,允许研究人员和开发人员训练定制模型以进行翻译、摘要、语言建模和其他NLP任务。对于PyTorch的用户来说,这是一个不错的选择。它提供了各种序列到序列模型的参考实现,支持跨多个GPU和机器的分布式训练,可扩展性强,并具有许多预训练的模型,其中包括RoBERTa,它是对BERT的优化。