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Fix broken links on the coreml tutorial page (#3250)
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Summary: Pull Request resolved: #3250

Reviewed By: dbort

Differential Revision: D56487125

fbshipit-source-id: 502019365de043a7e07bb0d766134b334ee115ba
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Olivia-liu authored and facebook-github-bot committed Apr 24, 2024
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# Building and Running ExecuTorch with Core ML Backend

Core ML delegate uses Core ML APIs to enable running neural networks via Apple's hardware acceleration. For more about coreml you can read [here](https://developer.apple.com/documentation/coreml). In this tutorial, we will walk through the steps of lowering a PyTorch model to Core ML delegate
Core ML delegate uses Core ML APIs to enable running neural networks via Apple's hardware acceleration. For more about Core ML you can read [here](https://developer.apple.com/documentation/coreml). In this tutorial, we will walk through the steps of lowering a PyTorch model to Core ML delegate


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In order to be able to successfully build and run the ExecuTorch's Core ML backend you'll need the following hardware and software components.

### Hardware:
- A [mac](https://www.apple.com/mac/]) system for building.
- A [mac](https://www.apple.com/mac/]) or [iPhone](https://www.apple.com/iphone/) or [iPad](https://www.apple.com/ipad/) or [Apple TV](https://www.apple.com/tv-home/) device for running the model.
- A [mac](https://www.apple.com/mac/) system for building.
- A [mac](https://www.apple.com/mac/) or [iPhone](https://www.apple.com/iphone/) or [iPad](https://www.apple.com/ipad/) or [Apple TV](https://www.apple.com/tv-home/) device for running the model.

### Software:

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# Builds `coreml_executor_runner`.
./examples/apple/coreml/scripts/build_executor_runner.sh
```
3. Run and generate an [ETDump](./sdk-etdump.md).
3. Run and generate an [ETDump](./sdk-etdump.md).
```bash
cd executorch

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