---
title: 744da785
canonical_url: "https://www.modelscope.cn/models/jokerfive/744da785"
md_url: "https://www.modelscope.cn/models/jokerfive/744da785.md"
repository: jokerfive/744da785
last_updated: 2024-01-28
pipeline_tag: sentiment-classification
tasks:
  - sentiment-classification
parameters: 3.1M
tensor_type:
  - F32
library_name:
  - safetensors
  - pytorch
frameworks:
  - Pytorch
downloads: 44
stars: 0
---

# 744da785

> 744da785 - jokerfive 在 ModelScope 开源的模型。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"}…

- **Repository**: jokerfive/744da785
- **Tasks**: sentiment-classification
- **Parameters**: 3.1M
- **Downloads**: 44
- **Stars**: 0
- **Last updated**: 2024-01-28

Source: https://www.modelscope.cn/models/jokerfive/744da785

---

吴思玮作业1：
运行python homework.py,模型为qwen_1_8b，用了jd_sentiment_zh，
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"}