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Hugging Face Adds Native PyTorch Support for TPUs Through TorchTPU

1 reports 1 reporting sources 18 hours agoNew

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Hugging Face has added native TPU support across Transformers, Diffusers, and Kernels through TorchTPU, a native PyTorch backend, removing the need for Optimum TPU when running Transformers and Diffusers models on TPUs. Models can target the hardware with device_map="tpu" or pipe.to("tpu"), with optional compilation and distributed execution. Hugging Face reports that 96.5% of tests running on TPU pass and that 19 of 34 reported TorchTPU issues have already been fixed.

Generated by AI from reports · Updated 1 hours ago

Latest development10/20 08:00 (UTC+8)
Hugging Face adds native TPU support with TorchTPUHugging Face Blog

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10/20
  1. Hugging Face BlogPicks
    Hugging Face adds native TPU support with TorchTPU

    Hugging Face announces native TPU support across Transformers, Diffusers, and Kernels through TorchTPU, a native PyTorch backend. Models can use device_map="tpu" or pipe.to("tpu"), with optional compilation and distributed execution; Optimum TPU is no longer required for Transformers and Diffusers. Hugging Face reports that 96.5% of tests running on TPU pass, with 19 of 34 reported TorchTPU issues already fixed.

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