Hugging Face Secures $100 Million to Advance Open Machine Learning
Hugging Face raises $100 million in Series C funding to expand its open-source machine learning platform. The company hosts over 100,000 models and aims to tackle AI challenges through transparency and collaboration.
Hugging Face raises $100 million in a Series C funding round led by Lux Capital, with major participation from Sequoia and Coatue. This significant financial boost supports the company's mission to keep machine learning open and collaborative as the technology becomes the default way to build software. The platform experiences rapid growth by providing essential tools for developers and researchers worldwide.
The platform currently hosts 100,000 pre-trained models and 10,000 datasets across various disciplines like natural language processing, computer vision, and biology. Over 10,000 companies rely on Hugging Face to accelerate their machine learning roadmaps, saving countless hours of development time. This massive adoption cements the Hub as the primary home for machine learning creation and deployment.
Hugging Face directs its resources toward responsible AI by addressing critical challenges such as biases, privacy, and energy consumption. The company leads the BigScience workshop, which unites over 1,000 researchers to train the world's largest open-source multilingual language model. By prioritizing open science and shared datasets, Hugging Face fosters trust, reproducibility, and continuous innovation in the AI field.