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
翻译:Fairseq是一个开放源码序列建模工具包,研究人员和开发商可以对翻译、总结、语言建模和其他文本生成任务的定制模式进行培训,该工具包以PyTorch为基础,支持在多个GPUs和机器中开展分布式培训。我们还支持关于现代GPUs的快速混合精度培训和推断。可在https://www.youtube.com/watch?v=OtgDdWtHvto上找到一个演示视频。