docs(examples): fix link to TPU launcher script (#11427)
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@@ -119,7 +119,7 @@ When using PyTorch, we support TPUs thanks to `pytorch/xla`. For more context an
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very detailed [pytorch/xla README](https://github.com/pytorch/xla/blob/master/README.md).
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In this repo, we provide a very simple launcher script named
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[xla_spawn.py](https://github.com/huggingface/transformers/tree/master/examples/xla_spawn.py) that lets you run our
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[xla_spawn.py](https://github.com/huggingface/transformers/tree/master/examples/pytorch/xla_spawn.py) that lets you run our
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example scripts on multiple TPU cores without any boilerplate. Just pass a `--num_cores` flag to this script, then your
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regular training script with its arguments (this is similar to the `torch.distributed.launch` helper for
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`torch.distributed`):
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