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创意工作室和独立艺术家
spamnco
这是一个基于Wan2.1-T2V-14B模型训练的LoRA适配器，专门用于文本到视频转换任务，为图像生成提供增强功能。该模型使用AI Toolkit训练，需要特定的触发词'diddly'来激活图像生成。
ar4min
这是一个针对垃圾邮件检测进行微调的BERT模型，验证准确率约99%
Goodmotion
基于microsoft/Multilingual-MiniLM-L12-H384微调的文本分类模型，用于将邮件主题分类为垃圾邮件(SPAM)或非垃圾邮件(NOSPAM)。
RUSpam
基于Deberta架构的俄语垃圾邮件检测模型，能够将文本分类为垃圾邮件或非垃圾邮件。
lokas
支持超过50种语言的文本分类模型，适用于多语言环境下的文本分类任务
一个安全的容器化MCP服务器，集成SpamAssassin提供防御性邮件安全分析功能，为Claude Code提供全面的邮件分析能力。
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