fixed the model address

README.md

@@ -82,8 +82,8 @@ import re
 test_dataset = load_dataset("common_voice", "id", split="test")
 wer = load_metric("wer")
 
-processor = Wav2Vec2Processor.from_pretrained("indonesian-nlp/wav2vec2-large-xlsr-indonesian-baselin")
-model = Wav2Vec2ForCTC.from_pretrained("indonesian-nlp/wav2vec2-large-xlsr-indonesian-baseline") 
+processor = Wav2Vec2Processor.from_pretrained("indonesian-nlp/wav2vec2-large-xlsr-indonesian")
+model = Wav2Vec2ForCTC.from_pretrained("indonesian-nlp/wav2vec2-large-xlsr-indonesian") 
 model.to("cuda")
 
 chars_to_ignore_regex = '[\,\?\.\!\-\;\:\"\“\%\‘\'\”\�]'
@@ -123,4 +123,4 @@ print("WER: {:2f}".format(100 * wer.compute(predictions=result["pred_strings"],
 
 The Common Voice `train`, `validation`, and ... datasets were used for training as well as ... and ...  # TODO
 
-The script used for training can be found [here](https://github.com/indonesian-nlp/wav2vec2-indonesian) 
+The script used for training can be found [here](https://github.com/indonesian-nlp/wav2vec2-indonesian)