CaraML Docs
Ctrlk
CaraML Homepage
  • Introduction
    • What is CaraML?
    • Architecture
    • Core Concepts
  • User guides
    • Projects
    • Feature Store
    • Models
    • Routers
    • Experiments
    • Pipelines
  • Tutorial and Examples
    • Model Sample Notebooks
      • Deploy Standard Models
      • Deploy PyFunc Model
      • Using Transformers
      • Run Batch Prediction Job
      • Others examples on Models
    • Router Examples
    • Feature Store Examples
    • Pipeline Examples
    • Performing load test in CaraML
    • Best practice for CaraML
  • CaraML SDK
    • Feature Store SDK
    • Models SDK
    • Routers SDK
    • Pipeline SDK
  • Troubleshooting and FAQs
    • CaraML System FAQ
    • Models FAQ
    • Routers FAQ
    • Experiments FAQ
    • Feature Store FAQ
    • Pipelines FAQ
    • CaraML Error Messages
  • Deployment Guide
    • Deploying CaraML
    • Monitoring and alerting
    • Prerequisites and Dependencies
    • System Benchmark results
    • Experiment Treatment Service
  • Release Notes
    • CaraML Release Notes
Powered by GitBook
On this page
  • Deploy SKLearn Model
  • Deploy XGBoost Model
  • Deploy Tensorflow Model
  • Deploy Pytorch Model
  1. Tutorial and Examples
  2. Model Sample Notebooks

Deploy Standard Models

Try out the notebooks below to learn how to deploy different types of Standard Models to Merlin.

Deploy SKLearn Model

Logomerlin/examples/sklearn/SKLearn.ipynb at main · caraml-dev/merlinGitHub

Deploy XGBoost Model

Logomerlin/examples/xgboost/XGBoost.ipynb at main · caraml-dev/merlinGitHub

Deploy Tensorflow Model

Logomerlin/examples/tensorflow/Tensorflow.ipynb at main · caraml-dev/merlinGitHub

Deploy Pytorch Model

Logomerlin/examples/pytorch/Pytorch.ipynb at main · caraml-dev/merlinGitHub
PreviousModel Sample NotebooksNextDeploy PyFunc Model

Last updated 1 year ago