Fix type issues

Author: xenova

src/models/idefics3/image_processing_idefics3.js

@@ -146,6 +146,8 @@ export class Idefics3ImageProcessor extends ImageProcessor {
 
                     const start_offset = i * pixel_attention_mask_stride + num_patches * h * w;
                     const end_offset = (i + 1) * pixel_attention_mask_stride;
+
+                    // @ts-expect-error
                     pixel_attention_mask_data.fill(false, start_offset, end_offset);
                 }
             }

src/models/seamless_m4t/feature_extraction_seamless_m4t.js

@@ -133,8 +133,8 @@ export class SeamlessM4TFeatureExtractor extends FeatureExtractor {
                         'int64',
                         new BigInt64Array(numPaddedFrames),
                         [1, numPaddedFrames],
-                    )
-                    padded_attention_mask.data.fill(1n, 0, num_frames);
+                    );
+                    /** @type {BigInt64Array} */ (padded_attention_mask.data).fill(1n, 0, num_frames);
                 }
             }
         }

src/pipelines.js

@@ -1916,7 +1916,7 @@ export class AutomaticSpeechRecognitionPipeline extends (/** @type {new (options
             const max_new_tokens = Math.floor(aud.length / sampling_rate) * 6;
             const outputs = await this.model.generate({ max_new_tokens, ...kwargs, ...inputs });
 
-            const text = this.processor.batch_decode(outputs, { skip_special_tokens: true })[0];
+            const text = this.processor.batch_decode(/** @type {Tensor} */(outputs), { skip_special_tokens: true })[0];
             toReturn.push({ text });
         }
         return single ? toReturn[0] : toReturn;

src/tokenizers.js

@@ -535,19 +535,18 @@ class Unigram extends TokenizerModel {
      * Create a new Unigram tokenizer model.
      * @param {Object} config The configuration object for the Unigram model.
      * @param {number} config.unk_id The ID of the unknown token
-     * @param {any[][]} config.vocab A 2D array representing a mapping of tokens to scores.
+     * @param {[string, number][]} config.vocab A 2D array representing a mapping of tokens to scores.
      * @param {Object} moreConfig Additional configuration object for the Unigram model.
      */
     constructor(config, moreConfig) {
         super(config);
 
         const vocabSize = config.vocab.length;
         this.vocab = new Array(vocabSize);
+        /** @type {number[]} */
         this.scores = new Array(vocabSize);
         for (let i = 0; i < vocabSize; ++i) {
-            const piece = config.vocab[i];
-            this.vocab[i] = piece[0];
-            this.scores[i] = piece[1];
+            [this.vocab[i], this.scores[i]] = config.vocab[i];
         }
 
         this.unk_token_id = config.unk_id;