Update README.md

README.md

@@ -108,7 +108,8 @@ test_dataset = test_dataset.map(speech_file_to_array_fn)
 inputs = processor(test_dataset["speech"], sampling_rate=16_000,
                    return_tensors="pt", padding=True)
 with torch.no_grad():
-    logits = model(inputs.input_values, attention_mask=inputs.attention_mask).logits
+    logits = model(inputs.input_values,
+                   attention_mask=inputs.attention_mask).logits
 predicted_sentences = processor.batch_decode(
     logits=logits.numpy(),
     num_processes=num_processes