@sconedev/ai_toolkit/dist/core/onnxRuntime.browser.d.ts

Simplify AI integration in web apps with local and offline model support

import { OnnxModelConfig } from "./onnxRuntime";
/**
 * Run inference using local model file in browser
 *
 * @param modelFile File from file input or drop
 * @param modelConfig Model configuration
 * @param inputData Input data for inference
 * @param options Additional options
 */
export declare function runModelFromFile(modelFile: File, modelConfig: OnnxModelConfig, inputData: Record<string, any>, options?: {
    cacheResults?: boolean;
    cacheModel?: boolean;
    progressCallback?: (progress: number) => void;
    inferenceOptions?: Record<string, any>;
}): Promise<Record<string, any>>;
/**
 * Load a model from URL with caching support
 * Useful for offline-first applications
 */
export declare function runOnnxInferenceBrowser(modelConfig: OnnxModelConfig, inputData: Record<string, any>, options?: {
    cacheResults?: boolean;
    cacheModel?: boolean;
    progressCallback?: (progress: number) => void;
    inferenceOptions?: Record<string, any>;
}): Promise<Record<string, any>>;
export declare function loadModelFromUrl(url: string, options?: {
    checkCache?: boolean;
    saveToCache?: boolean;
    saveToIndexedDB?: boolean;
    progressCallback?: (progress: number) => void;
}): Promise<ArrayBuffer>;
/**
 * Check if WebGPU is supported in the current browser
 */
export declare function isWebGPUSupported(): boolean;
/**
 * Check if WebAssembly is supported in the current browser
 */
export declare function isWasmSupported(): boolean;