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  • November 2022 (Revised January 2023)
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Hugging Face: Serving AI on a Platform

By: Shane Greenstein, Daniel Yue, Kerry Herman and Sarah Gulick
  • Format:Print
  • | Language:English
  • | Pages:25
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Abstract

It is fall 2022, and open-source AI model company Hugging Face is considering its three areas of priorities: platform development, supporting the open-source community, and pursuing cutting-edge scientific research. As it expands services for enterprise clients, which services should it prioritize? Will these projects be in line with Hugging Face’s volunteer community? Further, Hugging Face decided to remove a model uploaded by a contributor, due to the potential harm the leadership felt it could propagate. Was it the right decision?

Keywords

Community; Open-source; AI and Machine Learning; Product Development; Networks; Service Delivery; Research; Governance; Business and Stakeholder Relations; Information Industry; Technology Industry; United States

Citation

Greenstein, Shane, Daniel Yue, Kerry Herman, and Sarah Gulick. "Hugging Face: Serving AI on a Platform." Harvard Business School Case 623-026, November 2022. (Revised January 2023.)
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About The Author

Shane M. Greenstein

Technology and Operations Management
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Related Work

    • November 2022 (Revised January 2023)
    • Faculty Research

    Hugging Face: Serving AI on a Platform

    By: Shane Greenstein, Daniel Yue, Kerry Herman and Sarah Gulick
Related Work
  • Hugging Face: Serving AI on a Platform By: Shane Greenstein, Daniel Yue, Kerry Herman and Sarah Gulick
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