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+xFormers is a Toolbox to Accelerate Research on Transformers.
+
+xFormers is:
+* Customizable building blocks: Independent/customizable building blocks that
+ can be used without boilerplate code. The components are domain-agnostic and
+ xFormers is used by researchers in vision, NLP and more.
+* Research first: xFormers contains bleeding-edge components, that are not yet
+ available in mainstream libraries like PyTorch.
+* Built with efficiency in mind: Because speed of iteration matters, components
+ are as fast and memory-efficient as possible. xFormers contains its own CUDA
+ kernels, but dispatches to other libraries when relevant.