Coding Implementation to End-to-End Transformer Model Optimization with Hugging Face Optimum, ONNX Runtime, and Quantization

2025-09-23 14:28 GMT · 7 months ago aimagpro.com

In this tutorial, we walk through how we use Hugging Face Optimum to optimize Transformer models and make them faster while maintaining accuracy. We begin by setting up DistilBERT on the SST-2 dataset, and then we compare different execution engines, including plain PyTorch and torch.compile, ONNX Runtime, and quantized ONNX. By doing this step by […]
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