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Update distributed_inference.md to include a fuller example on distributed inference #9152

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Aug 12, 2024
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Update distributed_inference.md to include a fuller example on distributed inference #9152

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Update distributed_inference.md
sayakpaul Aug 12, 2024
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Update docs/source/en/training/distributed_inference.md
sayakpaul Aug 12, 2024
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4 changes: 2 additions & 2 deletions docs/source/en/training/distributed_inference.md
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Expand Up @@ -48,7 +48,7 @@ accelerate launch run_distributed.py --num_processes=2

<Tip>

To learn more, take a look at the [Distributed Inference with 🤗 Accelerate](https://huggingface.co/docs/accelerate/en/usage_guides/distributed_inference#distributed-inference-with-accelerate) guide.
Refer to this minimal example [script](https://gist.github.com/sayakpaul/cfaebd221820d7b43fae638b4dfa01ba) for running inference across multiple GPUs. To learn more, take a look at the [Distributed Inference with 🤗 Accelerate](https://huggingface.co/docs/accelerate/en/usage_guides/distributed_inference#distributed-inference-with-accelerate) guide.

</Tip>

Expand Down Expand Up @@ -108,4 +108,4 @@ torchrun run_distributed.py --nproc_per_node=2
```

> [!TIP]
> You can use `device_map` within a [`DiffusionPipeline`] to distribute its model-level components on multiple devices. Refer to the [Device placement](../tutorials/inference_with_big_models#device-placement) guide to learn more.
> You can use `device_map` within a [`DiffusionPipeline`] to distribute its model-level components on multiple devices. Refer to the [Device placement](../tutorials/inference_with_big_models#device-placement) guide to learn more.