Custom ML Models in
Minutes, Not Months
Upload a few examples, describe your task, and get your model. No training required. Export the weights and own it forever.
Currently supporting binary image classifiers • More model types coming soon
Your model, your code. Export to PyTorch or ONNX and run anywhere.
How It Works
Create production-ready models in three simple steps
Upload Examples
Provide a few images for each class you want to detect. As few as 1-8 images per class works great.
Review Results
We create your model instantly. Evaluate its accuracy on test images before you commit.
Export & Deploy
Download PyTorch weights, ready-to-run code, and a containerized ONNX model. Deploy anywhere you want.
Why Model Takeout?
Built for developers who want results, not complexity
Instant Creation
Create custom models in minutes, not weeks. No ML expertise required — just examples and a description.
Own Your Model
Export PyTorch weights, inference code, and ONNX. Run it anywhere with zero lock-in or API dependencies.
Try Before You Buy
Create and evaluate models your first models free. Only pay when you've made a model that works for you.
Simple Integration
Load your model with a single line of code. No complex setup, no API calls, no cloud dependencies.
# Your exported model - runs anywhere
from yaac.common.model_loader import load_model_from_checkpoint
from PIL import Image
import torch
# Load model from checkpoint directory
# (contains model.safetensors + config.json)
model, config = load_model_from_checkpoint(
"checkpoint_dir", device="cpu"
)
# Preprocess image
image = Image.open("puppy.jpg")
image_tensor = model.preprocess(image)
# Run inference
with torch.no_grad():
logits = model(image_tensor)
confidence = model.postprocess(logits)
print(confidence)
# → tensor([[0.96]]) # 96% confidenceReady to build your first model?
Start free. Create and evaluate models at no cost.
Only pay when you're ready to export.