ModelForge
Train Your Own
ML Model
Real Amazon SageMaker training jobs running in your browser. Pick a dataset, tune hyperparameters, watch your model learn in real time — then run inference on new data instantly.
3
Model Types
~$0.05
Per Training Run
ml.t3
Instance Type
2/day
Per Visitor
01 · Choose Model
→
02 · Pick Dataset
→
03 · Tune Params
→
04 · Train on AWS
→
05 · Run Inference
⚠ Daily limit reached (2 training jobs per day). Come back tomorrow!
Step 1 — Choose Model Type
Loading model types...
Step 2 — Pick a Dataset
Select a model type first
Step 3 — Tune Hyperparameters
Select a model type to configure
Training in Progress
Initializing...
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Accuracy
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Loss
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Epoch
Starting training job...
0%
▶ Initializing SageMaker training job...
✓ Model Trained — Run Inference
Test Your Model
Enter text to classify
Prediction
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How It Works
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Browser submits training config → Lambda validates + starts SageMaker job → SageMaker trains on built-in dataset in S3 → Model artifact saved to S3 → Endpoint deployed for inference