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To use from Android, ExecuTorch provides Java/Kotlin API bindings and Android platform integration, available as an AAR file. Note: This page covers Android app ...
A minimal Kotlin Android app that runs an ExecuTorch .pte model on-device using the XNNPACK CPU backend. It is wired to load an Edge Impulse-exported model.
ExecuTorch deployment on Android. ExecuTorch is the supported PyTorch deployment route for mobile devices; PyTorch Mobile is no longer actively supported.
2025/7/28 -Over the past year, we've rolled out ExecuTorch, an open-source solution for on-device inference on mobile and edge devices, across our family ...
This guide explains how to setup ExecuTorch for Android using a demo app. The app employs a DeepLab v3 model for image segmentation tasks. Models are exported ...
A cutting-edge Android application demonstrating real-time AI image classification using PyTorch Mobile. This project showcases how to integrate ...
ExecuTorch is PyTorch's unified solution for deploying AI models on-device—from smartphones to microcontrollers. Deploy LLMs, vision, speech, and multimodal ...
2025/4/2 -... ExecuTorch under the hood. There is an iOS demo app and Android demo app for ExecuTorch. Repo is here https://github.com/pytorch/executorch/.
2025/10/22 -Mobile Applications: Deploy on iOS and Android applications with native performance, enabling real-time object detection in mobile apps.
This guide explains how to setup ExecuTorch for Android using a demo app. The app employs a DeepLab v3 model for image segmentation tasks. Models are exported ...