Natural Language Processing# Fast HF Dataset Provider Instantiating the Provider Loading from Cache HF Dataset Provider Loading the Data Encoding the Data HF Trainer Loading and Encoding the Data Defining the Model Running the Trainer NVIDIA Dataset Provider Loading and Encoding the Data NVIDIA Trainer Defining the Model Running the Trainer ONNX Export Loading the Model Exporting to ONNX Post-Export Optimization Post-Training Quantization (PTQ) PyTorch Quantization Loading the Model Post-Training Quantization (PTQ) Comparing Default and Quantized Models Transformer++ Search Space List of Available Primitives Examples