add @ts-expect-error

src/models/convnext/image_processing_convnext.js

@@ -9,6 +9,7 @@ export class ConvNextImageProcessor extends ImageProcessor {
         /**
          * Percentage of the image to crop. Only has an effect if this.size < 384.
          */
+        // @ts-expect-error TS2339
         this.crop_pct = this.config.crop_pct ?? (224 / 256);
     }
 

src/models/efficientnet/image_processing_efficientnet.js

@@ -5,6 +5,7 @@ import {
 export class EfficientNetImageProcessor extends ImageProcessor {
     constructor(config) {
         super(config);
+        // @ts-expect-error TS2339
         this.include_top = this.config.include_top ?? true;
         if (this.include_top) {
             this.image_std = this.image_std.map(x => x * x);

src/models/paligemma/processing_paligemma.js

@@ -41,6 +41,7 @@ export class PaliGemmaProcessor extends Processor {
         }
 
         const bos_token = this.tokenizer.bos_token;
+        // @ts-expect-error TS2339
         const image_seq_length = this.image_processor.config.image_seq_length;
         let input_strings;
         if (text.some((t) => t.includes(IMAGE_TOKEN))) {

src/models/qwen2_vl/processing_qwen2_vl.js

@@ -28,6 +28,7 @@ export class Qwen2VLProcessor extends Processor {
         }
 
         if (image_grid_thw) {
+            // @ts-expect-error TS2551
             let merge_length = this.image_processor.config.merge_size ** 2;
             let index = 0;
 

src/pipelines.js

@@ -1492,6 +1492,7 @@ export class AudioClassificationPipeline extends (/** @type {new (options: Audio
         const sampling_rate = this.processor.feature_extractor.config.sampling_rate;
         const preparedAudios = await prepareAudios(audio, sampling_rate);
 
+        // @ts-expect-error TS2339
         const id2label = this.model.config.id2label;
 
         const toReturn = [];
@@ -1866,7 +1867,9 @@ export class AutomaticSpeechRecognitionPipeline extends (/** @type {new (options
 
                 // TODO: Right now we only get top beam
                 if (return_timestamps === 'word') {
+                    // @ts-expect-error TS2339
                     chunk.tokens = data.sequences.tolist()[0];
+                    // @ts-expect-error TS2339
                     chunk.token_timestamps = data.token_timestamps.tolist()[0].map(
                         (/** @type {number} */ x) => round(x, 2)
                     );
@@ -2032,6 +2035,7 @@ export class ImageClassificationPipeline extends (/** @type {new (options: Image
         const { pixel_values } = await this.processor(preparedImages);
         const output = await this.model({ pixel_values });
 
+        // @ts-expect-error TS2339
         const id2label = this.model.config.id2label;
 
         /** @type {ImageClassificationOutput[]} */
@@ -3349,4 +3353,4 @@ async function loadItems(mapping, model, pretrainedOptions) {
     }
 
     return result;
-}
+}