Abstract
fairseq is an open-source sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language modeling, and other text generation tasks. The toolkit is based on PyTorch and supports distributed training across multiple GPUs and machines. We also support fast mixed-precision training and inference on modern GPUs. A demo video can be found at https://www.youtube.com/watch?v=OtgDdWtHvto
Abstract (translated)
Fairseq是一个开源的序列建模工具包,允许研究人员和开发人员为翻译、总结、语言建模和其他文本生成任务培训自定义模型。该工具包基于pytorch,支持跨多个GPU和机器的分布式培训。我们还支持在现代GPU上进行快速混合精度训练和推理。演示视频可在https://www.youtube.com/watch上找到?V=otgddwthvto
URL
https://arxiv.org/abs/1904.01038