From b2c194f201ce7cd5c3bb2f5415ca7e813e8542e1 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E6=98=9F=E5=86=89?= Date: Tue, 26 Apr 2022 20:48:36 +0800 Subject: [PATCH 1/3] # This is a combination of 2 commits. # This is the 1st commit message: update pr (#119) # This is the commit message #2: wechaty-huggingface-proposal added --- ...2022-05-05-wechaty-huggingface-proposal.md | 57 ++++++++++++++++++ .../huggingface1.webp | Bin 0 -> 18012 bytes .../huggingface2.webp | Bin 0 -> 41206 bytes .../huggingface3.webp | Bin 0 -> 10310 bytes .../huggingface_title.webp | Bin 0 -> 43506 bytes 5 files changed, 57 insertions(+) create mode 100644 jekyll/_posts/2022-05-05-wechaty-huggingface-proposal.md create mode 100644 jekyll/assets/2022/05-wechaty-huggingface-proposal/huggingface1.webp create mode 100644 jekyll/assets/2022/05-wechaty-huggingface-proposal/huggingface2.webp create mode 100644 jekyll/assets/2022/05-wechaty-huggingface-proposal/huggingface3.webp create mode 100644 jekyll/assets/2022/05-wechaty-huggingface-proposal/huggingface_title.webp diff --git a/jekyll/_posts/2022-05-05-wechaty-huggingface-proposal.md b/jekyll/_posts/2022-05-05-wechaty-huggingface-proposal.md new file mode 100644 index 000000000..a962d356f --- /dev/null +++ b/jekyll/_posts/2022-05-05-wechaty-huggingface-proposal.md @@ -0,0 +1,57 @@ +--- +title: "2022-关于开发wechaty-huggingface-pipeline的提议" +author: anaivebird +categories: + - project +image: /assets/2022/05-wechaty-huggingface-proposal/huggingface_title.webp +tags: + - plugin + - chatbot + - ecosystem +--- + +## 关于开发wechaty-huggingface-pipeline的提议 + +### 一、huggingface是什么 + +- 一个一键化傻瓜化的NLP模型平台 + +- 支持16+的NLP(自然语言处理)任务,包括对话系统、自动摘要、文本分类、情感分析 + +![img](/assets/2022/05-wechaty-huggingface-proposal/huggingface1.webp) + +- 支持36000+的AI训练好的预训练模型,包括中文预训练模型 + +![img](/assets/2022/05-wechaty-huggingface-proposal/huggingface2.webp) + +### 二、Wechaty社区为什么需要huggingface的NLP能力? + +- 可以让对话机器人更智能,更好玩,比如这个AI剧本杀: +- +- 而huggingface接口可以让用户傻瓜化地使用这些AI模型 + +### 三、可能的实现方式 + +- 做一个插件,包装huggingface pipeline的API +- huggingface的API非常简单,第一步选择任务text-generation +- 第二步直接输入一句话,模型就会回复了。 +- 其中pipeline有一个可选参数是model_card,可以去选择用model_hub中哪一个模型 + +![img](/assets/2022/05-wechaty-huggingface-proposal/huggingface3.webp) + +### 四、智能问答的机器人最终效果是怎么样的? + +- 可以参考本段视频: + +{% include iframe.html src="//player.bilibili.com/player.html?aid=425000021&bvid=BV1G3411p7Us&cid=559010604&page=1" %} + +- 这个机器人已经使用了huggingface pipeline,只是没有接入wechaty +- 主要功能有:智能客服(只能匹配客服问题库最相近的问题)、差评自动分类识别 + +### 五、API是去请求调用huggingface服务器还是可以下载模型本地运算 + +- 模型是下载到本地的,不依赖付费API,当然也可以用他给的API + +### 六、机器人运行的机器需要GPU吗? + +- 可以GPU推理,也可以CPU,CPU推理速度也很快 diff --git a/jekyll/assets/2022/05-wechaty-huggingface-proposal/huggingface1.webp b/jekyll/assets/2022/05-wechaty-huggingface-proposal/huggingface1.webp new file mode 100644 index 0000000000000000000000000000000000000000..02ba232b7c936d481dd188f9699c9a00198634ef GIT binary patch literal 18012 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