Add link to dist/types (Fixes #80)

dist/types/backends/onnx.d.ts

@@ -1,2 +1,3 @@
 export let ONNX: any;
 export const executionProviders: string[];
+//# sourceMappingURL=onnx.d.ts.map

dist/types/env.d.ts

@@ -10,3 +10,4 @@ declare const localURL: string;
 declare const CACHE_AVAILABLE: boolean;
 declare const FS_AVAILABLE: boolean;
 export {};
+//# sourceMappingURL=env.d.ts.map

dist/types/fft.d.ts

@@ -139,3 +139,4 @@ declare class FFT {
      */
     _singleRealTransform4(data: Float64Array, out: Float64Array, outOff: number, off: number, step: number, inv: number): void;
 }
+//# sourceMappingURL=fft.d.ts.map

dist/types/generation.d.ts

@@ -280,3 +280,4 @@ export class RepetitionPenaltyLogitsProcessor extends LogitsProcessor {
 }
 import { Callable } from "./utils.js";
 import { Tensor } from "./tensor_utils.js";
+//# sourceMappingURL=generation.d.ts.map

dist/types/image_utils.d.ts

@@ -79,3 +79,4 @@ export class CustomImage {
      */
     save(path: string | Buffer | URL, mime?: string): void;
 }
+//# sourceMappingURL=image_utils.d.ts.map

dist/types/math_utils.d.ts

@@ -20,3 +20,4 @@ export function interpolate(input: TypedArray, [in_channels, in_height, in_width
  */
 declare function transpose_data<T extends AnyTypedArray>(array: T, dims: number[], axes: number[]): [T, number[]];
 export { transpose_data as transpose };
+//# sourceMappingURL=math_utils.d.ts.map

dist/types/models.d.ts

@@ -1165,3 +1165,4 @@ declare class DetrSegmentationOutput extends ModelOutput {
 declare class ModelOutput {
 }
 export {};
+//# sourceMappingURL=models.d.ts.map

dist/types/pipelines.d.ts

@@ -43,3 +43,4 @@ declare class Pipeline extends Callable {
 }
 import { Callable } from "./utils.js";
 export {};
+//# sourceMappingURL=pipelines.d.ts.map

dist/types/processors.d.ts

@@ -33,3 +33,4 @@ export class Processor extends Callable {
     _call(input: any): Promise<any>;
 }
 import { Callable } from "./utils.js";
+//# sourceMappingURL=processors.d.ts.map

dist/types/samplers.d.ts

@@ -100,3 +100,4 @@ export class BeamSearchSampler extends Sampler {
     sample(logits: any, index?: number): any[];
 }
 import { Callable } from "./utils.js";
+//# sourceMappingURL=samplers.d.ts.map

dist/types/tensor_utils.d.ts

@@ -80,3 +80,4 @@ export function cat(tensors: any): Tensor;
 export function interpolate(input: Tensor, [out_height, out_width]: number[], mode?: string, align_corners?: boolean): Tensor;
 import { transpose as transpose_data } from "./math_utils.js";
 export { transpose_data };
+//# sourceMappingURL=tensor_utils.d.ts.map

dist/types/tokenizers.d.ts

@@ -513,3 +513,4 @@ declare class Decoder extends Callable {
 }
 import { Tensor } from "./tensor_utils.js";
 export {};
+//# sourceMappingURL=tokenizers.d.ts.map