Introduction to Model Deployment
Model Deployment allows you to take an already trained machine learning model and deploy it as a Service for real-time inference without writing any code for the Service itself!
At the time of writing, we support the following frameworks:
- scikit-learn (sklearn)
- XGBoost
- LightGBM
- Tensorflow / Keras
- PyTorch
The models themselves can be provided using:
- Truefoundry Model Registry
- AWS S3 Buckets (public objects only)
- HTTP links (publically downloadable)
Updated 5 months ago