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ExecuTorch on-device ML inference for pure Dart using dart:ffi — vision models plus experimental streaming LLM. Android, iOS, macOS, Linux, Windows.

0.6.1 #

Fixed #

  • The example shown on pub.dev now leads with how to use the package — loading a model, running it, and disposing it — instead of notes that only apply inside this repository.

0.6.0 #

Added #

  • First release. Pure-Dart ExecuTorch inference over dart:ffi, extracted from executorch_flutter so Dart servers and command-line programs can run models without a Flutter SDK. Owns the native build hook and the prebuilt binary download.
  • executorch_dart_shared.dart (the ffi-free half of the public API) and the ExecutorchManagerBase class are now part of the public API surface. Both exist so executorch_flutter's web implementation can build on this package without reaching into its private internals, and are expected to stay stable like the rest of the public API.
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ExecuTorch on-device ML inference for pure Dart using dart:ffi — vision models plus experimental streaming LLM. Android, iOS, macOS, Linux, Windows.

Repository (GitHub)
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Topics

#machine-learning #pytorch #ai #ffi

License

unknown (license)

Dependencies

code_assets, ffi, hooks, logging, meta, native_toolchain_cmake

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