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이 프로젝트는 ONNX를 활용해 스프링 부트에 기계학습모델을 배포합니다
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The project provides an example of working with Large Language Models (LLMs) using ONNX Runtime. The project demonstrates how to run TinyStories-33M model for text generation with GPT-2 compatible tokenization.
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"Cloud container data analytics, statistical modeling, and machine learning on distributed databases". "A free opensource alternative to SPSS, SAS, MATLAB, PowerBI, Tableau and Alteryx". Runs on Linux, Windows, MacOS, and in the cloud via containers.
LaTeX statistics sas spss matlab Python R spark cloud gcp Oracle azure Amazon Web S... Kubernetes containers Docker ML machine lear... regression clustering TiDB Yugabyte MySQL MariaDB SQL sparkr pyspark RStudio - KNIME Anal... Apache Spark... PyTorch MXNet Chainer keras gluon Scikit-learn... ONNX MLOps - Anac... NumPy Ipython) StatsModels pytest dask Koalas API -... Tornado - Py... Altair Bokeh Jupyter Voila Plotly/Dash matplotlib Seaborn - C#... SASPy - R: T... ggplot2 shiny dash Sparklyr BlueSky Stat... Jamovi - Int... vs code Vim - Tableau TabPy Tableau Buil... Python) - PL... SQL Developer PostgreSQL MySQL/MariaDB pgAdmin4 dbeaver MySQL Workbench Spark SQL Delta Lake Angular 2+ React .NET Core JavaScript (JS) Typescript (TS) Blazor Razor html5 CSS3 AWS EC2 Servers docker-compose podman Red Hat Ente... Oracle Linux fedora centos Ubuntu (WSL 2) debian Kestrel nginx Apache web s... jira Git Gitlab CI/CD... Code Climate... Ansible helm Terraform Cloudera Dat... nifi blender godot MS OfficeUpdated
