Example code fixed

README.md

@@ -43,7 +43,7 @@ To transcribe audio files the model can be used as a standalone acoustic model a
  ds = load_dataset("patrickvonplaten/librispeech_asr_dummy", "clean", split="validation")
  
  # tokenize
- input_values = processor(ds[0]["audio"]["array"],, return_tensors="pt", padding="longest").input_values  # Batch size 1
+ input_values = processor(ds[0]["audio"]["array"], return_tensors="pt", padding="longest").input_values  # Batch size 1
  
  # retrieve logits
  logits = model(input_values).logits