Is there an example for multi class multilabel classification in Pytorch?

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Have a look at this post for a small example on multi label classification.
You could use multi-hot encoded targets, nn.BCE(WithLogits)Loss and an output layer returning [batch_size, nb_classes] (same as in multi-class classification).

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