Train Examples

Below are examples for using Ray Train with a variety of frameworks and use cases. Ray Train makes it easy to scale out each of these examples to a large cluster of GPUs.

Beginner

Framework	Example
PyTorch	Train an image classifier with PyTorch
Lightning	Train an image classifier with Lightning
Accelerate, PyTorch, Hugging Face	Train a text classifier with Hugging Face Accelerate
TensorFlow	Train an image classifier with TensorFlow
Horovod	Train with Horovod and PyTorch
PyTorch	Train ResNet model with Intel Gaudi
Transformers	Train BERT model with Intel Gaudi
XGBoost	Train a tabular model with XGBoost

Intermediate

Framework	Example
DeepSpeed, PyTorch	Train a text classifier with DeepSpeed
PyTorch	Fine-tune a personalized Stable Diffusion model
Accelerate, Transformers	Finetune Stable Diffusion and generate images with Intel Gaudi
Lightning	Train a text classifier with PyTorch Lightning and Ray Data
Transformers	Train a text classifier with Hugging Face Transformers
Accelerate, Transformers	Fine-tune Llama-2-7b and Llama-2-70b with Intel Gaudi
Accelerate, Transformers, DeepSpeed	Pre-train Llama-2 with Intel Gaudi

Advanced

Framework	Example
PyTorch, AWS Neuron	Fine-tune Llama3.1 with AWS Trainium
Accelerate, DeepSpeed, Hugging Face	Fine-tune a Llama-2 text generation model with DeepSpeed and Hugging Face Accelerate
Hugging Face, DeepSpeed	Fine-tune a GPT-J-6B text generation model with DeepSpeed and Hugging Face Transformers
Lightning, DeepSpeed	Fine-tune a vicuna-13b text generation model with PyTorch Lightning and DeepSpeed
Lightning	Fine-tune a dolly-v2-7b text generation model with PyTorch Lightning and FSDP