Getting started with Gemma models
summary
Shows how to start using Gemma with concrete steps: accept the Gemma license on Kaggle Models, try the inference widget on the model page, or run the model in code with two lines of code using the Keras example; also notes PyTorch and JAX variants. Mentions community uptake—300,000 downloads and 300+ Hugging Face spaces—and points to active Kaggle competitions (AI Assistant, LLM Prompt Recovery) and documentation and cloud credits for research.
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chapters (13)
- 0:00Introduction to Gemma
- 0:59Goals and Platform Launch
- 1:23Community Adoption
- 1:45Accessibility and Tooling
- 2:18Getting Started with Gemma
- 3:01Licensing and Kaggle
- 3:32Inference Widget Demo
- 4:27Code Implementation
- 5:30Tutorials and Resources
- 6:01Kaggle Competitions
- 6:42Community Learning and Prizes
- 8:10Resources for Researchers
- 8:44Break Announcement
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