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)