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Tuesday, 17 May 2022

Announcing the Hugging Face Fellowship Program

Hugging Face 4 years ago 17

Hugging Face launched a Fellowship Program to support exceptional contributors to open-source machine learning projects through tailored resources and recognition. Fellows receive benefits such as computing resources, merchandise, and official recognition, with selection based on demonstrated contributions to democratizing machine learning rather than formal credentials or employment status. The program aims to empower key contributors to scale their impact while building a more diverse and inclusive open-source machine learning community.

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Hugging Face

Machine Learning Experts - Sasha Luccioni

Hugging Face 4 years ago 59

Sasha Luccioni, a research scientist at Hugging Face, works on measuring and reducing the environmental impact of machine learning models through projects like the Big Science Workshop's carbon footprint working group. Her team developed a real-time carbon emissions calculator called CodeCarbon and found that training location matters significantly—choosing a hydroelectric grid like Quebec reduces emissions by roughly 100 times compared to coal-based grids like Australia. Machine learning engineers can now make informed decisions about where and when to train models to minimize their environmental footprint.