Overview: PyTorch is ideal for experimentation, TensorFlow and Keras excel at large-scale deployment, and JAX offers ...
How a NPU programming model can boost the ability to port new models onto state-of-the-art embedded silicon.
Abstract: Aiming at the problem that deep learning cannot directly read one-dimensional dissolved gas data in oil, a wavelet transform data dimension conversion method based on the generalized ...
This is my command. They does not work with paddle ocr. paddle2onnx --model_dir ExportInferenceModel\recModel --model_filename inference.json --params_filename inference.pdiparams --save_file ...
I am using ModelOpt for QAT (Quantization Aware Training). After finishing training, I export the quantized model to ONNX and compare outputs. Without inserting QDQ nodes, the cosine similarity ...
After months of staying in public preview, Microsoft launched Windows ML yesterday for developers building AI-powered apps on Windows 11. For the uninitiated, it is a built-in AI inferencing runtime ...
Abstract: In this article, a new five-level power converter and an improved model predictive control (MPC) strategy are proposed for a four-phase switched reluctance machine (SRM) to improve its ...
!pip -q install "transformers>=4.49" "optimum[onnxruntime]>=1.20.0" "datasets>=2.20" "evaluate>=0.4" accelerate from pathlib import Path import os, time, numpy as np, torch from datasets import ...
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