Update README.md

README.md

@@ -68,8 +68,8 @@ Eng yaxshi natija (WER 8.82%) 2-epochda qo'lga kiritildi va overfitting boshlani
 from transformers import WhisperProcessor, WhisperForConditionalGeneration
 import librosa
 
-processor = WhisperProcessor.from_pretrained("BaseLayer/sota_uzbek_stt_lowvolume")
-model = WhisperForConditionalGeneration.from_pretrained("BaseLayer/sota_uzbek_stt_lowvolume")
+processor = WhisperProcessor.from_pretrained("BaseLayer/uzbek_stt_model")
+model = WhisperForConditionalGeneration.from_pretrained("BaseLayer/uzbek_stt_model")
 
 audio, sr = librosa.load("audio.wav", sr=16000)
 input_features = processor(audio, sampling_rate=16000, return_tensors="pt").input_features