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Quick Start Tutorial

Build and deploy your first ML model in under 5 minutes.

1

Initialize Your Project

Create a new 1.ML project in your directory:

oneml init my-ml-project
cd my-ml-project
2

Create Your Model

Write a simple model in Python:

model.py
import oneml

@oneml.model
def predict(data):
    # Your ML logic here
    return model.inference(data)
3

Train Your Model

Start training with your dataset:

oneml train --data ./dataset --epochs 10
4

Deploy to Production

Deploy your trained model with one command:

oneml deploy --name my-model --env production
Your model is now live!

Access it at: https://api.1.ml/v1/models/my-model

InstallationYour First Model