chunk_content: edicted label:
  
  
  	Copied
  model.to(device)
  
  with torch.no_grad():
      inputs = {k: v.to(device) for k, v in inputs.items()}
      outputs = model.generate(
          input_ids=inputs["input_ids"], attention_mask=inputs["attention_mask"], max_new_tokens=10, eos_token_id=3
      )
      print(tokenizer.batch_decode(outputs.detach().cpu().numpy(), skip_special_tokens=True))
  [
      "Tweet text : @nationalgridus I have no water and the bill is current and pai