# Do transformers have success in other domains different than NLP?

Everybody knows how successful transformers have been in NLP. Is there known work on other domains (e.g that also have a sequential natural way of occurring, such as stock price prediction or other problems)?

When it talks to other domains such as image or music, using transformer will always face a problem of sequence length limitation. To the best of my knowledge, the bottleneck of self-attention which uses a $$n^2$$ matrix quite limits transformer being applied to other domains. For example, a 32x32 pixel image, means a sequence of 1024 tokens.