 sentence = "Go Go Biden!!!" inputs = tokenizer(sentence.lower(), return_tensors="pt") outputs = model(**inputs) predicted_probability = torch.softmax(outputs[0], dim=1)[0].tolist()  print("Sentence:", sentence) print("Prediction:", id2label[np.argmax(predicted_probability)]) print("Against:", predicted_probability[0]) print("Favor:", predicted_probability[1]) print("Neutral:", predicted_probability[2])  