Update README.md

README.md

@@ -105,7 +105,7 @@ test_dataset = test_dataset.map(speech_file_to_array_fn)
 def evaluate(batch):
   tinputs = processor(batch["speech"], sampling_rate=16_000, return_tensors="pt", padding=True)
 
-  twith torch.no_grad():
+  with torch.no_grad():
     logits = model(inputs.input_values.to("cuda"), attention_mask=inputs.attention_mask.to("cuda")).logits
 
   pred_ids = torch.argmax(logits, dim=-1)