basetenlabs/truss-examples
📦 Open Source Projectbasetenlabs
A curated collection of production-ready model deployment examples using the Truss framework.
The truss-examples repository serves as the practical companion to the Truss framework, an open-source tool designed to standardize model serving. Each example in the repository provides a complete directory structure containing the necessary model weights, dependencies, and configuration files required to deploy models on Baseten or other infrastructure providers.
Key features include support for popular libraries like PyTorch, TensorFlow, and Hugging Face Transformers. The repository highlights how to handle custom inference logic, manage Python dependencies via requirements.txt, and define hardware requirements for efficient resource allocation. By abstracting away the complexities of Dockerfile creation and environment management, these examples allow developers to focus on model performance rather than infrastructure overhead. Whether you are deploying a lightweight classifier or a complex generative AI model, these templates provide a battle-tested blueprint for production-grade MLOps.
💡Highlights
- ├─Standardized model packaging
- ├─Production-ready deployment templates
- └─Supports PyTorch, TF, and HF
🎯For
- ├─ML Engineers
- └─MLOps Practitioners