[Feature Extractors] Fix kwargs to pre-trained (#30260)

fixes

tests/models/whisper/test_feature_extraction_whisper.py

@@ -142,6 +142,20 @@ class WhisperFeatureExtractionTest(SequenceFeatureExtractionTestMixin, unittest.
         self.assertTrue(np.allclose(mel_1, mel_2))
         self.assertEqual(dict_first, dict_second)
 
+    def test_feat_extract_from_pretrained_kwargs(self):
+        feat_extract_first = self.feature_extraction_class(**self.feat_extract_dict)
+
+        with tempfile.TemporaryDirectory() as tmpdirname:
+            saved_file = feat_extract_first.save_pretrained(tmpdirname)[0]
+            check_json_file_has_correct_format(saved_file)
+            feat_extract_second = self.feature_extraction_class.from_pretrained(
+                tmpdirname, feature_size=2 * self.feat_extract_dict["feature_size"]
+            )
+
+        mel_1 = feat_extract_first.mel_filters
+        mel_2 = feat_extract_second.mel_filters
+        self.assertTrue(2 * mel_1.shape[1] == mel_2.shape[1])
+
     def test_call(self):
         # Tests that all call wrap to encode_plus and batch_encode_plus
         feature_extractor = self.feature_extraction_class(**self.feat_extract_tester.prepare_feat_extract_dict())