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Hugging Face博客介绍ML Intern：从提示词到已训练评估模型的完整流程
Hugging Face博客发布一系列示例和完整提示词，介绍如何有效使用ML Intern。该工具可将提示词转化为已在Hub上训练并评估的模型，流程包括规划、申请预算、冒烟测试、训练、评估和发布，一周内以约100美元算力训练了6个模型。
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A series of examples and full prompts that allow you to use ML Intern effectively: https://huggingface.co/blog/building-with-ml-intern Gradio: The model you need isn't on the Hub? Make it yourself! ML Intern turns a prompt into a trained, evaluated model on the Hub. It plans, asks for a budget, smoke-tests, trains, evaluates and publishes. 6 models trained in a weeks time at ~$100 compute. Link in reply👇