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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.
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