| from transformers import pipeline | |
| def perform_reasoning(context, question): | |
| """ | |
| Performs a simple reasoning task by answering a question based on a given context. | |
| """ | |
| qa_pipeline = pipeline("question-answering") | |
| result = qa_pipeline(question=question, context=context) | |
| return result | |
| if __name__ == '__main__': | |
| context = "The new AI model is capable of performing a wide range of tasks, including multimodal classification, music generation, and sentiment analysis. It is designed to be a versatile and powerful tool for developers." | |
| question = "What tasks can the new AI model perform?" | |
| answer = perform_reasoning(context, question) | |
| print("Reasoning task result:", answer) | |