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In the previous article "Deploying theERNIE 4.5 Open-Source Model for Android Device Calls", the blogger introduced how to deploy the ERNIE 4.5 open-source large language model on one's own server. Ho

In the previous article "Usage and Deployment of the ERNIE 4.5 Open-Source Large Model", we introduced how to use FastDeploy to deploy the ERNIE 4.5 open-source large model and briefly called its inte

The ERNIE 4.5 series open-source models consist of a total of 10 models, covering Mixture-of-Experts (MoE) models with activation parameter scales of 47B and 3B (with the largest model having a total

This project implements a high-performance real-time gesture recognition Android application based on the Google MediaPipe and Android CameraX technology stacks. It adopts MediaPipe's latest Gesture R

MediaPipe is an open-source framework developed by Google for building perception pipelines to process time-series data such as video and audio. Among its components, MediaPipe Hands is a high-perform

This article introduces a feature-rich tool website developed using Python. It includes various tools such as document tools, PDF tools, image tools, audio tools, video tools, voice tools, and program

Here are the simplest commands to introduce how to deploy the DeepSeek-R1 service. Anaconda is assumed to be already installed, and the vllm framework is used, making it easy to deploy even in China.

This paper introduces how to quickly perform sound classification training and inference using PyTorch and the macls library. First, create a Python 3.11 virtual environment via Anaconda and install t

This framework appears to be very comprehensive and user-friendly, covering multiple stages from data preparation to model training and inference. To help readers better understand and utilize this fr

This detailed introduction demonstrates the process of developing and deploying speech recognition tasks using the PaddleSpeech framework. Below are some supplements and suggestions to the information