ExecuTorchModel class abstract

High-level wrapper for an ExecuTorch model instance

This is the main API for loading, managing, and running inference on ExecuTorch models. It provides a consistent interface across all platforms.

Runs on Android, iOS, macOS, Windows, and Linux through dart:ffi with native assets. There is no web implementation here — for web, use package:executorch_flutter.

Usage Pattern

Loading from a file (native platforms):

final model = await ExecuTorchModel.load('/path/to/model.pte');
final outputs = await model.forward(inputs);
await model.dispose();

Flutter applications can load from the asset bundle with loadModelFromAsset from package:executorch_flutter/executorch_flutter.dart.

Loading from Bytes:

import 'dart:io';

final bytes = await File('/path/to/model.pte').readAsBytes();
final model = await ExecuTorchModel.loadFromBytes(bytes);
final outputs = await model.forward(inputs);
await model.dispose();