InferenceInstallationBuilder class

Fluent builder for inference model installation

Provides type-safe API for installing inference models with optional LoRA weights. Automatically sets the installed model as the active inference model.

Usage:

await FlutterEdgeAi.installModel(
  modelType: ModelType.gemmaIt,
)
  .fromNetwork('https://example.com/model.task', token: 'hf_...')
  .withProgress((progress) => print('$progress%'))
  .install();

Constructors

InferenceInstallationBuilder({required ModelType modelType, ModelFileType fileType = ModelFileType.task})

Create builder with model identity

Properties

hashCode → int

The hash code for this object.

no setter, inherited

runtimeType → Type

A representation of the runtime type of the object.

no setter, inherited

Methods

fromAsset(String path) → InferenceInstallationBuilder

Set model source from Flutter asset

fromBundled(String resourceName) → InferenceInstallationBuilder

Set model source from bundled native resource

fromFile(String path) → InferenceInstallationBuilder

Set model source from external file path

fromHuggingFace(String repo, {String? file, String revision = 'main', String? token, bool? foreground}) → InferenceInstallationBuilder

Set model source from a Hugging Face repo. Two modes:

fromNetwork(String url, {String? token, bool? foreground}) → InferenceInstallationBuilder

Set model source from network URL (HTTP/HTTPS)

install() → Future<InferenceInstallation>

Execute the installation and automatically set as active inference model

noSuchMethod(Invocation invocation) → dynamic

Invoked when a nonexistent method or property is accessed.

inherited

toString() → String

A string representation of this object.

inherited

withCancelToken(CancelToken cancelToken) → InferenceInstallationBuilder

Set cancellation token for this installation

withLora(ModelSource loraSource) → InferenceInstallationBuilder

Optional: Add LoRA weights from custom source

withLoraFromAsset(String path) → InferenceInstallationBuilder

Convenience: Add LoRA weights from asset

withLoraFromBundled(String resourceName) → InferenceInstallationBuilder

Convenience: Add LoRA weights from bundled resource

withLoraFromFile(String path) → InferenceInstallationBuilder

Convenience: Add LoRA weights from file

withLoraFromNetwork(String url, {String? token}) → InferenceInstallationBuilder

Convenience: Add LoRA weights from network URL

withProgress(void onProgress(int progress)) → InferenceInstallationBuilder

Add progress callback

Operators

operator ==(Object other) → bool

The equality operator.

inherited