744da785

吴思玮作业1： 运行python homework.py,模型为qwen18b，用了jdsentimentzh， 推理结果如下： {"response": "positive", "query": "Task: Sentiment Classification\nSentence: 擦玻璃很好、就是太小了\nCategory: negative, positive\nOutput: ", "label": "positive"} {"response": "negative", "query": "Task: Sentiment Classification\nSentence: 店家太不负责任了，衣服质量太差劲了，和图片上的不一样\nCategory: negative, positive\nOutput: ", "label": "negative"} {"response": "positive", "query": "Task: Sentiment Classification\nSentence: 送国际友人挺好的，不错不错！\nCategory: negative, positive\nOutput: ", "label": "positive"} {"response": "positive", "query": "Task: Sentiment Classification\nSentence: 很好,装好一定很漂亮\nCategory: negative, positive\nOutput: ", "label": "positive"} {"response": "negative", "query": "Task: Sentiment Classification\nSentence: 东西给你退回去了，你要黑我钱！！！\nCategory: negative, positive\nOutput: ", "label": "negative"} {"response": "positive", "query": "Task: Sentiment Classification\nSentence: 送货很快，书是正品，买书一直京东是首选！\nCategory: negative, positive\nOutput: ", "label": "positive"} {"response": "positive", "query": "Task: Sentiment Classification\nSentence: 口感相当的好 都想买第二次了\nCategory: negative, positive\nOutput: ", "label": "positive"} {"response": "negative", "query": "Task: Sentiment Classification\nSentence: 硅胶味道太重，样子与图片差距太大\nCategory: negative, positive\nOutput: ", "label": "negative"} {"response": "negative", "query": "Task: Sentiment Classification\nSentence: 很伤心，买了放到三星n4尽然不能用，客服各种推\nCategory: negative, positive\nOutput: ", "label": "negative"} {"response": "positive", "query": "Task: Sentiment Classification\nSentence: 质量不错，大小合适，应当是正品！但是我买的是黑灰，发来的却是纯黑，懒得换了，给个差评，希望以后改进！\nCategory: negative, positive\nOutput: ", "label": "negative"}