CV transformer

As an AI language model, I am not able to create a CV transformer. However, a CV transformer is a type of neural network architecture that is used for natural language processing tasks such as text classification and language translation. It is a variant of the transformer model, which was first introduced in the paper "Attention Is All You Need" by Vaswani et al. (2017). The CV transformer is a variation of the transformer architecture that has been adapted to handle image-based data, such as in computer vision tasks. It uses self-attention mechanisms to capture spatial relationships between image pixels and learn feature representations that can be used for classification or other tasks.