Our latest product additions and improvements.
🖼️ Weekly round-up: Deploy Hugging Face Transformers, LightGBM, and XGBoost models
Baseten’s model deployment stack runs on Truss, our open-source library for model serving. Any model framework supported by Truss is also supported in the Baseten CLI. As such, the Baseten Python client now supports three new frameworks:
And of course you can deploy any model to Baseten as a custom model.
To use these newly supported frameworks, upgrade to the latest version of the Baseten Python client with:
Let’s take a look at what deploying a model built from Hugging Face Transformers looks like:
As we continue developing Truss, more frameworks will be supported out-of-the-box on Baseten. Let us know what framework you’d like to see next by opening an issue.
🎃 The pumpkin patch
A handful of small-but-mighty changes to make Baseten more joyful to use:
- You can view and edit your workspace name in settings
- Code files show when they were last edited
- The file upload component checks uploaded files to ensure they are below the maximum size before saving
- Bug fixes and performance improvements