If sample has more than one feature,how can I use Lstm to solve problems?

After I read the Pytorch doc,I tried to solve a problem which is about price forcasting.But the doc only show creating a model with the sample that has only one feature.My sample has more than one feature,So how do I use Lstm to create model .I will appreciate if you can show me with detail codes.

You an simply represent all your features for a data sample as a single vector.

How do you features look like? Do you already have a working model with one feature?

Well,my sample is (1,13),label is (1,1),length is 2000.So can I predict label using sample based on torch.nn.LSTM? If I can,I will appreciate if u can tell how to write code.Thanks.