Update README.md

README.md

@@ -31,7 +31,7 @@ In training of the model, we used the following data sources:
 ```python
 from speechbrain.inference.interfaces import foreign_class
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
-asr_classifier = foreign_class(source="Macedonian-ASR/wav2vec2-aed-macedonian-asr", pymodule_file="custom_interface.py", classname="ASR")
+asr_classifier = foreign_class(source="Macedonian-ASR/whisper-large-v3-macedonian-asr", pymodule_file="custom_interface.py", classname="ASR")
 asr_classifier = asr_classifier.to(device)
 predictions = asr_classifier.classify_file("audio_file.wav", device)
 print(predictions)