What is XetHub?
XetHub offers a unique backend storage solution designed to facilitate collaboration at scale for all Hugging Face users. It bridges the gap between software development and machine learning, bringing efficient versioning and storage capabilities to ML teams.
This platform enhances the development experience by using a git-centric ML versioning framework, which allows the handling of large files and complex datasets. XetHub helps accelerates the complete AI development by improving storage efficiency.
Features
- Large Scale Storage: Enables storage and management of large datasets and models.
- Collaboration Tools: Facilitates team collaboration on machine learning projects.
- Git-Centric Versioning: Implements a Git-based versioning system for ML workflows.
- Hugging Face Integration: Seamlessly integrates with Hugging Face.
- Efficient Storage: Optimizes storage efficiency for various file types, including Parquet.
Use Cases
- Collaborative machine learning model development
- Version controlling large datasets and models
- Streamlining ML workflows with software development practices
- Improving storage and access to large files within Hugging Face
- Caching Jupyter Notebook cells for performance
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