Update README.md

README.md

@@ -47,12 +47,12 @@ device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
 
 # load model and tokenizer
 processor = Wav2Vec2Processor.from_pretrained(
-    "classla/wav2vec2-xls-r-parlaspeech-hr")
-model = Wav2Vec2ForCTC.from_pretrained("classla/wav2vec2-xls-r-parlaspeech-hr")
+    "5roop/wav2vec2-xls-r-parlaspeech-hr-lm")
+model = Wav2Vec2ForCTC.from_pretrained("5roop/wav2vec2-xls-r-parlaspeech-hr-lm")
 
 
 # download the example wav files:
-os.system("wget https://huggingface.co/classla/wav2vec2-xls-r-parlaspeech-hr/raw/main/00020570a.flac.wav")
+os.system("wget https://huggingface.co/5roop/wav2vec2-xls-r-parlaspeech-hr-lm/raw/main/00020570a.flac.wav")
 
 # read the wav file 
 speech, sample_rate = sf.read("00020570a.flac.wav")