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@@ -24,7 +24,13 @@ The model is supported on CPU, GPU and Qualcomm NPUs. For Qualcomm integration,
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  # How to Use
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- ## Android
 
 
 
 
 
 
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  ### 1. Add the dependency
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@@ -69,13 +75,6 @@ suspend fun main() {
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  Try running this model on NPU by using the corresponding `litertlm` file and setting your EngineConfig’s backend and visionBackend to NPU. To check if your phone’s NPU is supported see this [guide](https://ai.google.dev/edge/litert/next/npu).
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- ## Android (Google AI Edge Gallery)
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- To build the demo app from source, please follow the [instructions](https://github.com/google-ai-edge/gallery/blob/main/README.md) from the GitHub repository.
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- Google AI Edge Gallery for Android through Open Beta in the Play Store and Prebuilt APK are coming soon.
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  ## Desktop
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  To build a Desktop application, C++ is the current recommendation. See the following code sample.
 
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  # How to Use
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+ ## Android (Google AI Edge Gallery)
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+ You can either install Google AI Edge Gallery through [Open Beta in the Play Store](https://play.google.com/store/apps/details?id=com.google.ai.edge.gallery) or install the [APK](https://github.com/google-ai-edge/gallery/releases/latest/download/ai-edge-gallery.apk) from Github.
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+ To build the demo app from source, please follow the [instructions](https://github.com/google-ai-edge/gallery/blob/main/README.md) from the GitHub repository.
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+ ## Android (LiteRT-LM)
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  ### 1. Add the dependency
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  Try running this model on NPU by using the corresponding `litertlm` file and setting your EngineConfig’s backend and visionBackend to NPU. To check if your phone’s NPU is supported see this [guide](https://ai.google.dev/edge/litert/next/npu).
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  ## Desktop
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  To build a Desktop application, C++ is the current recommendation. See the following code sample.