onnxruntime/docs/get-started/training-pytorch.md
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---
title: ORT Training with PyTorch
parent: Get Started
nav_order: 9
---
# Get started with ORT for Training API (PyTorch)
{: .no_toc }
The ORT Training API is a PyTorch frontend that implements the torch.nn.Module interface.
## ORT Training Example
In this example we will go over how to use ORT for Training a model with PyTorch.
```
pip install torch-ort
python -m torch_ort.configure
```
**Note**: This installs the default version of the `torch-ort` and `onnxruntime-training` packages that are mapped to specific versions of the CUDA libraries. Refer to the install options in [ONNXRUNTIME.ai](https://onnxruntime.ai).
- Add ORTModule in the `train.py`
```python
from torch_ort import ORTModule
.
.
.
model = ORTModule(model)
```
## Samples
[ONNX Runtime Training Examples](https://github.com/microsoft/onnxruntime-training-examples)