本课程教你精通MLflow和Hugging Face两大MLOps开源平台，涵盖机器学习生命周期管理、模型追踪与部署，以及Hugging Face Hub协作与实时演示。适合中级学习者，时长5小时14分。
原始标题：MLOps Tools: MLflow and Hugging Face
Released: 09/2024
Duration: 5h 14m | .MP4 1280×720, 30 fps(r) | AAC, 48000 Hz, 2ch | 825 MB
Level: Intermediate | Genre: eLearning | Language: English
In this course, learn how to master MLflow and Hugging Face, two powerful open-source platforms for MLOps. Starting with MLflow, learn how to streamline the machine learning lifecycle, manage projects and models, use the tracking UI system, and interact with registered models. Then, get an introduction to Hugging Face, starting with an overview of the Hugging Face Hub, repositories, and Hugging Face Spaces. Learn how to collaborate and deploy models, store datasets and models, create live interactive demos, and leverage community repositories.
Note: This course was created by Pragmatic AI Labs. We are pleased to host this training in our library
此处内容需要权限查看
会员免费查看
