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Hugging Face 新人使用指南 Hugging Face Spaces 是什么？ Hugging Face Spaces 是 Hugging Face Hub 上提供的一项服务，它提供了一个易于使用的 GUI，用于构建和部署 Web 托管的 ML 演示及应用。 该服务使得用户可以快速构建 ML 演示、上传要托管的自有应用，甚至即时部署多个预配置的 ML 应用。
Hugging Face - 知乎 Hugging Face Reachy Mini —— 专为当今和未来AI开发者打造的开源机器人 Reachy Mini 是一款富有表现力的开源机器人，专为人机交互、创意编程和 AI 实验而设计。 它价格亲民，体积小巧，却蕴藏着无…
Facing SSL Error with Huggingface pretrained models You'll need to complete a few actions and gain 15 reputation points before being able to upvote Upvoting indicates when questions and answers are useful What's reputation and how do I get it? Instead, you can save this post to reference later
Load a pre-trained model from disk with Huggingface Transformers From the documentation for from_pretrained, I understand I don't have to download the pretrained vectors every time, I can save them and load from disk with this syntax: - a path to a `directory`
saving finetuned model locally - Stack Overflow I'm trying to understand how to save a fine-tuned model locally, instead of pushing it to the hub I've done some tutorials and at the last step of fine-tuning a model is running trainer train()