 Run inference inputs = processor(common_voice['speech'], sampling_rate=16_000, return_tensors='pt', padding=True).to(device)  with torch.no_grad():     logits = model(**inputs).logits  transcripts = processor.batch_decode(logits.cpu().numpy()).text ```  