Update README.md

README.md

@@ -59,7 +59,7 @@ model = HubertForCTC.from_pretrained("facebook/hubert-xlarge-ls960-ft")
     
 ds = load_dataset("patrickvonplaten/librispeech_asr_dummy", "clean", split="validation")
 
-input_values = processor(ds[0]["audio"]["array"],, return_tensors="pt").input_values  # Batch size 1
+input_values = processor(ds[0]["audio"]["array"], return_tensors="pt").input_values  # Batch size 1
 logits = model(input_values).logits
 predicted_ids = torch.argmax(logits, dim=-1)
 transcription = processor.decode(predicted_ids[0])