Student Ambassador Program’s call for applications is open!

Summary

Hugging Face launched its inaugural Student Ambassador Program to advance its mission of democratizing machine learning globally. The initiative aligns with the organization's overarching goal to teach machine learning to 5 million people by 2023. Selected student ambassadors will receive dedicated workshops, direct team support, access to a peer network, merchandise, and updates on upcoming projects and features. Applicants must be enrolled in an accredited higher education institution, have completed at least one machine learning or data science course, and already use the Hugging Face Hub or libraries. The application window closed on June 13, 2022, with the program operating from June 30, 2022, through December 31, 2022.

Context

Hugging Face aims to teach open-source machine learning to 5 million people from all backgrounds worldwide by 2023 and wants to empower students to show their campus communities how to build ML models.

Approach / What changed

Hugging Face launched the Student Ambassador Program running from June 30, 2022, to December 31, 2022, providing participants with peer networking, workshops, team support, project insights, merchandise, and official ambassador recognition.

Takeaways

• Hugging Face set a target to teach machine learning to 5 million individuals by 2023 through open-source education.
• Ambassador applicants had to validate student enrollment at an accredited institution, have taken at least one ML or data science course, and be active users of Hugging Face libraries or the Hub.
• Participants are strictly required to adhere to the Code of Conduct, with violations resulting in exclusion from the program.

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