Dealing with imbalance dataset for multi-label task

Hi! I’m newbie
In my case, I’ve 33 labels per samples. The target tensors are like [0,0,1,01,1,1,0,0,0,0,0…]. And the samples for some labels are quite low and some are high. So what will be the best approach to improve the prediction? I would like apply data balancing technique. But so far I found the balancing technique available only for multi-class. I’m grateful to you if you share your best knowledge about regarding my problem or any other idea to improve the performance. Thanks in Advance.