IS&T RCS教程-开源生成AI与拥抱脸（动手）

What to Expect: This tutorial introduces Hugging Face, the leading open-source platform where the machine learning community collaborates on models, datasets, and applications. hug Face以其自然语言处理的变形金刚库而闻名，它还为共享、探索和部署机器学习模型提供了一个充满活力的生态系统。 您将获得在hug Face平台上导航的实践经验，探索符合特定标准的模型，并使用这些模型构建工具。 到最后，您将了解hugs Face如何支持现代AI开发以及如何在您自己的项目中有效地利用其工具。 Key Topics Covered: Introduction to Hugging Face and its role in open-source AI Navigating the Hugging Face ecosystem and model hub Finding and evaluating models based on specific requirements Understanding the platform’s tools, libraries, and community features Hands-on practice: selecting models, working with them in Python, and building simple applications Preparation: Prior experience with Python programming (especially Jupyter Notebooks) is required Ensure Python is installed on your machine; detailed setup instructions and a conda environment file will be provided in advance If you plan to use your own computer, install and activate the conda environment ahead of time Prerequisites: Familiarity with the NumPy library Basic understanding of machine learning and deep learning concepts with some practical experience Recommended Background: 如果您是机器学习的新手，请考虑参加前面的澳门威尼斯人注册Python机器学习（Scikit-Learn）和PyTorch深度学习的教程，以建立坚实的基础。 准备好探索拥抱脸，实验开源模型，并构建自己的人工智能应用程序吧！

当 20.25年10月2日下午1时至3时
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