--- title: Accelerate Hugging Face parent: Tutorials nav_order: 4 --- # Accelerate Hugging Face models {: .no_toc } ONNX Runtime can accelerate training and inferencing popular Hugging Face NLP models. ## Accelerate Hugging Face model inferencing * [General export and inference: Hugging Face Transformers](https://github.com/huggingface/notebooks/blob/master/examples/onnx-export.ipynb) * [Accelerate GPT2 model on CPU](https://github.com/microsoft/onnxruntime/blob/main/onnxruntime/python/tools/transformers/notebooks/Inference_GPT2_with_OnnxRuntime_on_CPU.ipynb) * [Accelerate BERT model on CPU](https://github.com/microsoft/onnxruntime/blob/main/onnxruntime/python/tools/transformers/notebooks/PyTorch_Bert-Squad_OnnxRuntime_CPU.ipynb) * [Accelerate BERT model on GPU](https://github.com/microsoft/onnxruntime/blob/main/onnxruntime/python/tools/transformers/notebooks/PyTorch_Bert-Squad_OnnxRuntime_GPU.ipynb) ## Additional resources * [Blog post: Faster and smaller quantized NLP with Hugging Face and ONNX Runtime](https://medium.com/microsoftazure/faster-and-smaller-quantized-nlp-with-hugging-face-and-onnx-runtime-ec5525473bb7) * [Blog post: Accelerate your NLP pipelines using Hugging Face Transformers and ONNX Runtime](https://medium.com/microsoftazure/accelerate-your-nlp-pipelines-using-hugging-face-transformers-and-onnx-runtime-2443578f4333)