Hugging Face
The AI community platform for sharing models, datasets, and machine learning apps. Hugging Face hosts over 500,000 open-source models and the Transformers library that has become the de facto standard for NLP and ML development. It provides model hosting, inference APIs, and collaborative tools that make it the GitHub of machine learning, central to the open-source AI ecosystem.
Overview
Hugging Face has become the central hub of the open-source AI ecosystem, hosting over one million models, hundreds of thousands of datasets, and tens of thousands of AI-powered demo applications. Often described as the GitHub of machine learning, the platform enables researchers and developers to share, discover, and collaborate on AI models and datasets with unprecedented ease. Hugging Face's Transformers library is the most widely used open-source framework for working with large language models, and its ecosystem includes libraries for training (TRL), dataset management, model evaluation, and deployment. The company monetizes through Hugging Face Enterprise, which offers private model hosting, inference endpoints, and collaboration features for organizations building AI products. Hugging Face has built deep partnerships with every major cloud provider and hardware vendor, making it the default neutral ground where the AI community converges. The platform plays a critical role in AI democratization by making state-of-the-art models accessible to developers worldwide.
Funding History
Open-source AI hub becomes the GitHub of machine learning.
Hugging Face reaches $2B valuation as the GitHub of machine learning.
Hugging Face raises $40M as its model hub surpasses 30,000 models.
Hugging Face raises Series A as its Transformers library becomes the standard for NLP research.
Hugging Face raises seed round to build NLP tools and open-source model hub.
Frequently Asked Questions
- How much has Hugging Face raised in total?
- Hugging Face has raised a total of $391M across 5 funding rounds.
- Who are Hugging Face's investors?
- Hugging Face's investors include Sequoia Capital, Felicis Ventures, Google Ventures (GV), Lux Capital, Undisclosed, and 1 others.
- What does Hugging Face do?
- Hugging Face has become the central hub of the open-source AI ecosystem, hosting over one million models, hundreds of thousands of datasets, and tens of thousands of AI-powered demo applications. Often described as the GitHub of machine learning, the platform enables researchers and developers to share, discover, and collaborate on AI models and datasets with unprecedented ease. Hugging Face's Transformers library is the most widely used open-source framework for working with large language models, and its ecosystem includes libraries for training (TRL), dataset management, model evaluation, and deployment. The company monetizes through Hugging Face Enterprise, which offers private model hosting, inference endpoints, and collaboration features for organizations building AI products. Hugging Face has built deep partnerships with every major cloud provider and hardware vendor, making it the default neutral ground where the AI community converges. The platform plays a critical role in AI democratization by making state-of-the-art models accessible to developers worldwide.
- When was Hugging Face founded?
- Hugging Face was founded in 2016 and is headquartered in New York, NY.
- Where is Hugging Face headquartered?
- Hugging Face is headquartered in New York, NY.
Investors
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