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Hugging Face - Blog

Waypoint-1.5: Higher-Fidelity Interactive Worlds for Everyday GPUs ALTK‑Evolve: On‑the‑Job Learning for AI Agents Safetensors is Joining the PyTorch Foundation Holo3: Breaking the Computer Use Frontier Any Custom Frontend with Gradio's Backend A New Framework for Evaluating Voice Agents (EVA) Bringing Robotics AI to Embedded Platforms: Dataset Recording, VLA Fine‑Tuning, and On‑Device Optimizations One-Shot Any Web App with Gradio's gr.HTML CUGA on Hugging Face: Democratizing Configurable AI Agents New in llama.cpp: Model Management Building Deep Research: How we Achieved State of the Art OVHcloud on Hugging Face Inference Providers 🔥 20x Faster TRL Fine-tuning with RapidFire AI Building for an Open Future - our new partnership with Google Cloud Aligning to What? Rethinking Agent Generalization in MiniMax M2 Building a Healthcare Robot from Simulation to Deployment with NVIDIA Isaac Sentence Transformers is joining Hugging Face! Unlock the power of images with AI Sheets Supercharge your OCR Pipelines with Open Models Google Cloud C4 Brings a 70% TCO improvement on GPT OSS with Intel and Hugging Face Get your VLM running in 3 simple steps on Intel CPUs Nemotron-Personas-India: Synthesized Data for Sovereign AI Introducing RTEB: A New Standard for Retrieval Evaluation Accelerating Qwen3-8B Agent on Intel® Core™ Ultra with Depth-Pruned Draft Models VibeGame: Exploring Vibe Coding Games Nemotron-Personas-Japan: ソブリン AI のための合成データセット Swift Transformers Reaches 1.0 – and Looks to the Future Smol2Operator: Post-Training GUI Agents for Computer Use SyGra: The One-Stop Framework for Building Data for LLMs and SLMs Gaia2 and ARE: Empowering the community to study agents
Student Ambassador Program’s call for applications is open!
Violette · 2022-05-13 · via Hugging Face - Blog

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Violette's avatar

As an open-source company democratizing machine learning, Hugging Face believes it is essential to teach open-source ML to people from all backgrounds worldwide. We aim to teach machine learning to 5 million people by 2023.

Are you studying machine learning and/or already evangelizing your community with ML? Do you want to be a part of our ML democratization efforts and show your campus community how to build ML models with Hugging Face?

If yes, we want to support you in your journey by opening our first Student Ambassador Program 🤗 🥳

If you want to:

  • help your peers in their machine learning journey,
  • learn and use free, open-source technologies,
  • contribute to a thriving ecosystem,
  • and you're keen on fostering communities while sharing our community values,

The Student Ambassador Program is an excellent opportunity for you. You have until June 13, 2022, to apply!

What are the benefits of being part of the Program? 🤩 

Selected ambassadors will benefit from resources and support:

🎎 Network of peers with whom ambassadors can collaborate.

🧑🏻‍💻 Workshops and support from the Hugging Face team!

🤗 Insight into the latest projects, features, and more!

🎁 Merchandise and assets.

✨ Being officially recognized as a Hugging Face’s Ambassador

Eligibility Requirements for Students

  • Validate your student status
  • Have taken at least one machine learning/data science course (online courses are considered as well)
  • Be enrolled in an accredited college or university
  • Be a user of the Hugging Face Hub and/or the Hugging Face’s libraries
  • Acknowledge the Code of Conduct. Community is at the center of the Hugging Face ecosystem. Because of that, we strictly adhere to our Code of conduct. If any ambassador infringes it or behaves inadequately, they will be excluded from the Program.

Apply here to become an ambassador!

Timeline:

  • Deadline for the end of the application is June 13.
  • The Program will start on June 30, 2022.
  • The Program will end on December 31, 2022.