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replace Executorch with ExecuTorch to fix lint error
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docs/source/llm/getting-started.md

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@@ -394,7 +394,7 @@ acceleration and optimization. Any portions of the computation graph not
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delegated will be executed by the ExecuTorch operator implementations.
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To delegate the exported model to the specific backend, we need to import its
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partitioner as well as edge compile config from Executorch Codebase first, then
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partitioner as well as edge compile config from ExecuTorch Codebase first, then
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call `to_backend` with an instance of partitioner on the `EdgeProgramManager`
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object `to_edge` function created.
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@@ -482,7 +482,7 @@ target_link_libraries(
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```
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Keep the rest of the code the same. For more details refer to
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[Exporting to Executorch](https://pytorch.org/executorch/main/llm/getting-started.html#step-1-exporting-to-executorch)
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[Exporting to ExecuTorch](https://pytorch.org/executorch/main/llm/getting-started.html#step-1-exporting-to-executorch)
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and
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[Invoking the Runtime](https://pytorch.org/executorch/main/llm/getting-started.html#step-2-invoking-the-runtime)
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for more details

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