Niels Rogge
Bio
Niels works as a Machine Learning Engineer at Hugging Face as part of the Community Science team. Together with @_akhaliq (also known as AK), which you might know from posting trending research papers, he ensures researchers improve the discoverability and visibility of their artifacts by making them available on the hub with proper links to the paper, write model and dataset cards and more.
Session (1)
Niels Rogge is a Machine Learning Engineer on Hugging Face's Open-Source team who has contributed 40+ models to the Transformers library and now works at the intersection of open-source model integration and AI-assisted development workflows. Attending his session offers firsthand insight into how coding agents are reshaping open-source contribution and how practitioners deploy vision-language and coding models in production.
Recent talks (3)
GitHub
@NielsRogge- NielsRogge/Transformers-Tutorials★ 11,600Demos made with the Transformers library by HuggingFace, covering NLP, computer vision, document AI, and multimodal tasks.
- NielsRogge/Vision-Transformer-papers★ 201Overview of important follow-up works based on the original Vision Transformer (ViT) by Google.
- NielsRogge/awesome-huggingface★ 49Curated resources regarding Hugging Face tooling, including fine-tuning open-source LLMs, multimodal models, and deployment.
- NielsRogge/Description2Process★ 15Transforming textual descriptions into process models using deep learning.
Recent writing (5)
- Relaunching PapersWithCode with new features · blog · May 2026
- Running AI agents to automate outreach at scale · blog · Apr 2026
- How we OCR'ed 30,000 papers using Codex, open OCR models and Jobs · blog · Apr 2026
- How I contributed a new model to the Transformers library using Codex · blog · Mar 2026
- On CLIs vs. MCP · blog · Mar 2026
Public activity researched automatically · as of Jun 2026