EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hugging Face Blog·Aug 13·5 min read
Record, train, and deploy from one place with Strands Agents, LeRobot, and Hugging Face Storage Buckets
TL;DR
Strands Agents, LeRobot, and Hugging Face Storage Buckets enable continuous recording, training, and deployment of robotic policies, streamlining the development loop. This integration allows for efficient data management and improved model performance over time.
✦ Why It Matters
Start using Strands Agents and Hugging Face Storage Buckets to optimize your robotic training workflows today.
Key Takeaways
- Utilize Strands Agents for continuous data collection and training.
- Sync recordings to Hugging Face Storage Buckets to save on data transfer costs.
- Stream datasets directly for training without local downloads.
- Leverage content-defined chunking to optimize upload sizes.
How It Works
The system records robotic demonstrations and stores them in Hugging Face Storage Buckets, which use content-defined chunking to only upload changed data. This allows for efficient data management, where training can occur directly from the bucket without needing to download large datasets.
The integration of Strands Robots enables seamless transitions between recording, training, and deploying policies, all while maintaining a single backend.