Click the above “Beginner’s Guide to Vision” and select “Star” or “Pin” Important content delivered promptly This article mainly explains how to deploy a PyTorch model on a C++ platform, detailing the model conversion, saving serialized models, loading serialized PyTorch models in C++, and executing Script Modules in four main sections.>> Join the Extreme City … Read more
In recent years, artificial intelligence technology has been changing our lives at an astonishing pace. From intelligent voice assistants to autonomous driving, from medical image analysis to personalized recommendations, AI technology has permeated all aspects. Are you curious about what supports these magical functions? Today, we will unveil the technical core of the AI world … Read more
Follow the public account “ML_NLP“ Set as “Starred“, heavy content delivered first-hand! Original text: https://zhuanlan.zhihu.com/ p/138597214 Author: Liu Shikun Recently, there have been numerous breakthroughs in research on Multi-task Learning (MTL), along with many interesting new directions to explore. This has greatly inspired me to write a new article, attempting to summarize the recent research … Read more
Source: OneFlow This article is approximately 7732 words long and is recommended to be read in 12 minutes. This article introduces the background of Pathways and provides an in-depth analysis. 01. Why Discuss Pathways? In the past two years, TensorFlow has been caught off guard by the rise of PyTorch, and the entire industry is … Read more
1. Install Pycharm(1) Go to the official Pycharm website homepage, download the latest version of Pycharm, most people choose the community version. Link:https://www.jetbrains.com/pycharm/(2) After downloading the installation package, the installation steps are as follows: Note: After the installation is complete, you can see the Pycharm icon on the desktop. Click to open it, indicating that … Read more
LoRA Fine-Tuning for Flan T5 Small Model “Train your own AI model using just a Mac, without a GPU or cloud services.” 1. Why Choose LoRA? Lightweight: Only trains 0.1% to 1% of new parameters, fast speed, and low memory usage. Pluggable: Multiple LoRA adapters can be switched at any time, allowing for versatile use. … Read more
Word count: 740, reading time approximately 4 minutes After installing the device system, configure libraries such as CUDA, cuDNN, OpenCV, and TensorRT through JetPack. 1. Install Conda Miniconda download link: <span>https://repo.anaconda.com/miniconda/</span>, choose the appropriate version to download, for example, <span>Miniconda3-py38_23.11.0-2-Linux-aarch64.sh</span> 1. Installation command cd /root wget -q https://repo.anaconda.com/miniconda/Miniconda3-py38_23.5.2-0-Linux-aarch64.sh bash ./Miniconda3-py38_23.11.0-2-Linux-aarch64.sh -b -f -p /root/miniconda3 rm … Read more
Focus on Model Compression, Low-Bit Quantization, Mobile Inference Acceleration Optimization, and Deployment Introduction: This issue contains 15 items. 【News】Shanghai Zhangjiang – News from several GPGPU companies: BoHan released cloud AI inference chip performance exceeding T4 with mass production expected in Q4 this year; Suipian released the largest AI chip in China, Birun’s first 7nm GPU … Read more
Overview In this project, we encountered a need for Optical Character Recognition (OCR). However, the best-performing <span>PaddleOCR</span> can only run on Baidu’s <span>PaddlePaddle</span> framework. In common projects, the more widely used Pytorch framework is often preferred. Installing PaddlePaddle separately not only makes the project overly bulky but may also lead to conflicts. In the previous … Read more
In May 2022, PyTorch officially announced support for model acceleration on Mac with M1 chip. Official comparison data shows that the training speed on M1 can be accelerated by an average of 7 times compared to CPU. Wow, without needing a separate GPU, I couldn’t wait to get my hands on an M1 MacBook to … Read more