Using Transformers for a Sequence with Multiple Variables at Each Step
## ❓ Questions & Help

I have sequence data which I want to classify and predict future sequence. However, I   know that there are a few additional features which aso affect the subsequent values, each to a different extent. So I have multiple features for each step of input sequence. However, the output sequence can be just one feature for each step.

Input - [(x1, y1, z1), (x2,y2,z2), (x3,y3,z3)]
Output - [x4, x5, x6] or classification (a,b or c)

I do not want to concatenate x,y, and z as they have varying effects on the label and I think concatenating would give an erroneous result.

Need advise on whether Transformers, and specifically Huggingface Transformers can be used for this use case?

Thanks.
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