Tools Clem Delangue has publicly discussed or demonstrated using. Curated by Magpie's editorial team from podcasts, posts, and public stacks.
About
Clem Delangue is co-founder and CEO of Hugging Face. Loud public voice for open-source AI; names specific models, frameworks and community tooling daily on X.
Hugging Face is Clem Delangue's own platform and the AI surface he most consistently champions. Founded 2016 with Julien Chaumond and Thomas Wolf, the hub now hosts 200,000+ public models and ships compute for AI builders to train directly on the platform. Delangue's daily X output is essentially a running endorsement: every new open-weights model launch on HF gets his amplification. He extended the same open-source thesis into robotics with the April 2025 Pollen Robotics acquisition.
Clem Delangue publicly endorses DeepSeek as a canonical example of an open-weights frontier model worth training-against. In his Ultra-Scale Playbook X announcement he positions DeepSeek R1 alongside Llama and GPT-5 as the proof points that every tech company should be able to train their own frontier model. He's been a vocal amplifier for the China-led open-source AI thesis on X and LinkedIn.
Every tech company can and should train their own deepseek R1, Llama or GPT5, just like every tech company writes their own code (and AI is no more than software 2.0).
Clem Delangue treats Meta's Llama family as one of the canonical open-weights reference models, alongside DeepSeek R1. In his Ultra-Scale Playbook X post he uses Llama as a benchmark example for what frontier-model training should look like at every tech company. The Llama family is one of the most-downloaded model families on the Hugging Face hub he runs.
These tools have been mentioned by the people featured in podcasts, interviews, posts, and other public media. Source links and citations are included wherever possible. Magpie AI has no direct relationship with the people on these pages. Spot a missing tool or a wrong attribution? Suggest a correction →