How to Package Models
Prepare your models for deployment to Modzy
The guides in this section provide you the materials to quickly transform your machine learning model into an OMI-compliant container, all of which go hand-in-hand with the Deploying Models guides. All guides in this section fall into one of two categories:
- low-code packaging guides that leverage Chassis to automate the containerization process
- high-code packaging guides that require more manual work and proficiency with both Docker and gRPC.
| Low-Code Guides | High-Code Guides |
|---|---|
| PyTorch | Tensorflow |
| Scikit-learn | Python Model |
| XGBoost | R Model |
| LightGBM | |
| Fastai | |
| MXNet | |
| ONNX | |
| PMML | |
| General Chassis Template |
Updated 2 months ago