hhhwmws/ouyangfeng
收藏Hugging Face2023-09-04 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/hhhwmws/ouyangfeng
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资源简介:
---
license: cc-by-4.0
task_categories:
- text-generation
language:
- zh
size_categories:
- 1K<n<10K
---
支持ChatHaruhi2 的欧阳锋数据,可以使用如下方式调用
```python
from chatharuhi import ChatHaruhi
chatbot = ChatHaruhi( role_from_hf = 'hhhwmws/ouyangfeng', \
llm = 'openai')
response = chatbot.chat(role='郭靖', text = '欧阳锋!是你!')
print(response)
```
上传者: 米唯实
更具体的信息,见 [ChatHaruhi](https://github.com/LC1332/Chat-Haruhi-Suzumiya)
欢迎加入我们的 [众筹角色创建项目](https://github.com/LC1332/Chat-Haruhi-Suzumiya/tree/main/characters/novel_collecting)
### Citation引用
Please cite the repo if you use the data or code in this repo.
```
@misc{li2023chatharuhi,
title={ChatHaruhi: Reviving Anime Character in Reality via Large Language Model},
author={Cheng Li and Ziang Leng and Chenxi Yan and Junyi Shen and Hao Wang and Weishi MI and Yaying Fei and Xiaoyang Feng and Song Yan and HaoSheng Wang and Linkang Zhan and Yaokai Jia and Pingyu Wu and Haozhen Sun},
year={2023},
eprint={2308.09597},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
```
This dataset contains data for supporting the ChatHaruhi2s Ouyang Feng character, suitable for text generation tasks, in Chinese, with a size between 1K and 10K entries. Users can call this dataset through Python code to engage in conversations with the Ouyang Feng character.
提供机构:
hhhwmws
原始信息汇总
数据集概述
许可证
- 本数据集遵循 CC BY 4.0 许可证。
任务类别
- 文本生成
语言
- 中文
数据规模
- 1K<n<10K
使用示例
python from chatharuhi import ChatHaruhi
chatbot = ChatHaruhi( role_from_hf = hhhwmws/ouyangfeng, llm = openai)
response = chatbot.chat(role=郭靖, text = 欧阳锋!是你!) print(response)
引用
@misc{li2023chatharuhi, title={ChatHaruhi: Reviving Anime Character in Reality via Large Language Model}, author={Cheng Li and Ziang Leng and Chenxi Yan and Junyi Shen and Hao Wang and Weishi MI and Yaying Fei and Xiaoyang Feng and Song Yan and HaoSheng Wang and Linkang Zhan and Yaokai Jia and Pingyu Wu and Haozhen Sun}, year={2023}, eprint={2308.09597}, archivePrefix={arXiv}, primaryClass={cs.CL} }



