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msluszniak merged 2 commits into from
Feb 4, 2026
Merged

Add subsection about adding new models to RNE ecosystem #779

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docs: Add subsection about adding new models to RNE ecosystem
msluszniak Feb 3, 2026
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Update docs/docs/01-fundamentals/01-getting-started.md
msluszniak Feb 4, 2026
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10 changes: 10 additions & 0 deletions docs/docs/01-fundamentals/01-getting-started.md
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Expand Up @@ -90,6 +90,16 @@ Running the app with the library:
yarn run expo:<ios | android> -d
```

## Supporting new models in React Native ExecuTorch

Adding new functionality to the library follows a consistent three-step integration pipeline:

1. **Model Serialization:** We export PyTorch models for specific tasks (e.g., object detection) into the *.pte format, which is optimized for the ExecuTorch runtime.

2. **Native Implementation:** We develop a C++ execution layer that interfaces with the ExecuTorch runtime to handle inference. This layer also manages model-dependent logic, such as data pre-processing and post-processing.

3. **TS Bindings:** Finally, we implement a TypeScript API that bridges the JavaScript environment to the native C++ logic, providing a clean, typed interface for the end user."

## Good reads

If you want to dive deeper into ExecuTorch or our previous work with the framework, we highly encourage you to check out the following resources:
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