TorchTPU makes Google TPUs a regular PyTorch device
Hugging Face users can now run Transformers, Diffusers, and Kernels natively on Google TPUs without routing PyTorch through torch_xla or learning JAX. TorchTPU adds TPU as a PyTorch backend, so loading a Hub model can be as simple as setting `device_map="tpu"`; regular eager-mode code works, with `torch.compile` and distributed training available when needed. Installation takes one pip command on a TPU VM.