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Add long overdue link to the Google TRC project (#13501)
* Add long-overdue link to the Google TRC project * Apply suggestions from code review Co-authored-by: Suraj Patil <surajp815@gmail.com> Co-authored-by: Stefan Schweter <stefan@schweter.it>
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@ -46,6 +46,8 @@ module abstraction using Python dataclasses that leads to concise and explicit c
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All of our JAX/Flax models are designed to run efficiently on Google
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Cloud TPUs. Here is [a guide for running JAX on Google Cloud TPU](https://cloud.google.com/tpu/docs/jax-quickstart-tpu-vm).
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Consider applying for the [Google TPU Research Cloud project](https://sites.research.google/trc/) for free TPU compute.
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Each example README contains more details on the specific model and training
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procedure.
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