updated model

utils.py

@@ -2,7 +2,7 @@
 import librosa
 import torch
 import torchaudio
-from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
+from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor, AutoTokenizer
 from datasets import load_dataset
 
 import numpy as np
@@ -28,8 +28,8 @@ class SpeechRecognition:
         self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
         #self.processor = Wav2Vec2Processor.from_pretrained("m3hrdadfi/wav2vec2-large-xlsr-turkish")
         #self.model = Wav2Vec2ForCTC.from_pretrained("m3hrdadfi/wav2vec2-large-xlsr-turkish").to(self.device)
-        self.processor = Wav2Vec2Processor.from_pretrained("patrickvonplaten/wav2vec2-large-...-common_voice-tr-demo")
-        self.model = Wav2Vec2ForCTC.from_pretrained("mpatrickvonplaten/wav2vec2-large-...-common_voice-tr-demo").to(self.device)
+        self.processor = AutoTokenizer.from_pretrained("patrickvonplaten/wav2vec2-large-...-common_voice-tr-demo")
+        self.model = Wav2Vec2ForCTC.from_pretrained("patrickvonplaten/wav2vec2-large-...-common_voice-tr-demo").to(self.device)
 
         return self