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import AutoModel from kernl.model_optimization import optimize_model model = AutoModel.from_pretrained("model_name").eval().cuda() optimize_model(model) inputs = ... with torch.inference_mode(), torch.cuda.amp.autocast(): outputs = model(**inputs) https://github.com/ELS-RD/kernl pytorch_memlab