machinelp / textmatch Goto Github PK
View Code? Open in Web Editor NEWQAmatch(qa_match)/文本匹配/文本分类/文本embedding/文本聚类/文本检索(bow/ifidf/ngramtf-df/bert/albert/bm25/…/nn/gbdt/xgb/kmeans/dscan/faiss/….)
QAmatch(qa_match)/文本匹配/文本分类/文本embedding/文本聚类/文本检索(bow/ifidf/ngramtf-df/bert/albert/bm25/…/nn/gbdt/xgb/kmeans/dscan/faiss/….)
ml模型分布式服务部署:grpc,flask;docker:https://github.com/MachineLP/QDServing
大佬你好!你的这个项目很不错!我这里有个小问题,希望得到你的帮助。
我已经跑通了bert和albert的训练文件(train_model文件夹下的train_bert.py和train_albert.py),但是我发现训练和测试的时候都是使用的cpu。如果我想用GPU进行训练和测试需要做什么修改呢?谢谢!
看了下您博客中有关cnn+attention的代码,原地址https://blog.csdn.net/u014365862/article/details/78495870,
发现一个问题
attention层的输入在代码中是rnn的隐态 outputs=ht
然后把outputs输入到attention中,最后学习到一个权重再施加到outputs上
但是,attention层的输入不应该是cnn的特征和rnn的隐态么,学习到的权重施加在cnn特征上,而不是隐态上。
不知道我的理解有没有问题,期待您的回答,谢谢!
请问项目配置的cuda和cudnn版本号多少?
大佬,你搭建的这几个网络不都是CNN吗?我怎么没找到CNN-RNN的结构?
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