CTC example: updated trainer parameters to save tokenizer (#23243)

trainer parameters changed to save tokenizer in addition to feature_extractor

examples/pytorch/speech-recognition/run_speech_recognition_ctc.py

@@ -705,7 +705,7 @@ def compute_metrics(pred):
         compute_metrics=compute_metrics,
         train_dataset=vectorized_datasets["train"] if training_args.do_train else None,
         eval_dataset=vectorized_datasets["eval"] if training_args.do_eval else None,
-        tokenizer=feature_extractor,
+        tokenizer=processor,
     )
 
     # 8. Finally, we can start training