
如果你使用 DeepSeek、元宝 AI、Copilot、ChatGPT 等 AI 工具,协助配置轩辕镜像、编写 docker pull 命令、修改 Docker Compose 镜像地址、配置镜像加速、排查镜像拉取失败、分析报错日志等问题,请先让 AI 阅读并遵守轩辕镜像的规则文档。
只需在 AI 对话中先发送下面这句话即可:
请先完整阅读并严格遵守以下文档中的全部规则与要求:
https://xuanyuan.cloud/agents.md
在未充分阅读并理解该文档前,不要生成任何命令、配置、修改建议、故障排查方案或技术回答。后续所有输出都必须严格以该文档中的规范为最高优先级执行。查看 agents.md 用法指南与完整示范。国内用户首推 元宝 AI、DeepSeek 的深度思考模式,不推荐豆包 AI;Cursor 等编辑器可在对话 @ 该链接,或加入 User Rules。 若 AI 无法访问外链,可 打开说明文档 复制全文粘贴。文档会随站点更新,复制内容可能过期,建议定期检查。
Please find the module at: https://hub.docker.com/r/sapnanegi/16_suggestion_mining_nuig/ Latest stable version (Tag name): 1.0.0-python3.5
This module takes in a sentence or a tweet and predicts if it contains a suggestion or not. The source code can be found here: https://github.com/MixedEmotions/NUIG-suggestion
At the core of the module, there is a sentence and short text (tweet) ***ary classifier, which is trained in manually labeled datasets. The classifier uses a neural network based algorithm for training (Long short term memory networks).
Commands to launch: docker pull mixedemotions/16_suggestion_mining_nuig docker run --rm -p 8016:5000 -ti mixedemotions/16_suggestion_mining_nuig:1.0.0-python3.5
Expected input: a sentence, or a tweet. Example: [***]
Expected output: { "@context": "[]", "@id": ":Results.3165457", "@type": "results", "analysis": [ "SuggestionMiningDL" ], "entries": [ { "@id": ":Entry.3433897", "@type": "entry", "emotions": [], "entities": [], "nif:isString": "you better go and spook yourself", "sentiments": [], "suggestions": [ { "@id": ":Suggestion.3434868", "@type": "suggestion", "hasSuggestion": true, "nif:anchorOf": "you better go and spook yourself", "nif:beginIndex": 0, "nif:endIndex": 48 } ], "topics": [] } ] }
您可以使用以下命令拉取该镜像。请将 <标签> 替换为具体的标签版本。如需查看所有可用标签版本,请访问 标签列表页面。
来自真实用户的反馈,见证轩辕镜像的优质服务