| preds = [{"score": round(pred["score"], 4), "label": pred["label"]} for pred in preds] | |
| preds | |
| [{'score': 0.9991, 'label': 'POSITIVE'}] | |
| Token classification | |
| In any NLP task, text is preprocessed by separating the sequence of text into individual words or subwords. |