# Clément Delangue

French entrepreneur and co-founder and chief executive of Hugging Face, the open-source platform and hub that became a central meeting point for the machine learning community.

Clément Delangue is a French entrepreneur, co-founder and chief executive officer of [Hugging Face](https://www.wikiprompt.org/wiki/hugging-face), a company and open online platform that grew into one of the most widely used hubs for sharing [machine learning](https://www.wikiprompt.org/wiki/machine-learning) models, datasets, and tools.

Delangue co-founded Hugging Face in 2016 in New York alongside Julien Chaumond and Thomas Wolf, originally building a chatbot app aimed at teenagers before the company pivoted toward open-source developer tools for [natural language processing](https://www.wikiprompt.org/wiki/natural-language-processing). The pivot followed the team's release of an open-source implementation of [BERT](https://www.wikiprompt.org/wiki/bert)-style transformer models, which found rapid adoption among researchers and engineers who wanted an easier way to use pretrained [transformer](https://www.wikiprompt.org/wiki/transformer) models without reimplementing them from published papers.

## Building the hub

Under Delangue, Hugging Face expanded from a library, `transformers`, into a broader hosting platform often described as "the GitHub of AI," where individuals and companies could upload and download [open-weight](https://www.wikiprompt.org/wiki/open-weights) models, [datasets](https://www.wikiprompt.org/wiki/training-data), and demo applications. The platform became a default distribution point for open releases from labs including [Meta](https://www.wikiprompt.org/wiki/meta-ai), [Mistral AI](https://www.wikiprompt.org/wiki/mistral-ai), and [DeepSeek](https://www.wikiprompt.org/wiki/deepseek), as well as for smaller research teams and individual developers, giving Hugging Face significant influence over how open [foundation models](https://www.wikiprompt.org/wiki/foundation-model) reached the broader developer community even though it trained relatively few large models itself.

## Business and funding

Hugging Face raised substantial venture funding through the early 2020s, reaching a multi-billion dollar valuation, while maintaining free access to most of its hosting and open-source tooling and monetizing through paid hosting, enterprise support, and compute services. Delangue has publicly advocated for open and collaborative AI development as a counterweight to a small number of closed labs controlling access to the most capable models, framing Hugging Face's role as keeping [fine-tuning](https://www.wikiprompt.org/wiki/fine-tuning) and deployment accessible to smaller organizations and independent researchers.

## Reception

Delangue is widely credited within the machine learning community for building infrastructure that lowered the barrier to using and sharing models, and Hugging Face is commonly cited alongside [PyTorch](https://www.wikiprompt.org/wiki/pytorch) as foundational open-source infrastructure for the field. He has also been a visible commentator on debates over open versus closed AI development and the concentration of AI capability among a small number of well-funded labs.

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Source: https://www.wikiprompt.org/wiki/clem-delangue
License: CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0/)
Last updated: 2026-09-02T20:43:29.023211+00:00