Home › Model Serving › AI-Playground

AI-Playground - AI Model Serving Tool

Overview

AI-Playground is a tool for adding and installing LLM models using Hugging Face model IDs. It includes features such as image resolution scaling and is available via the project's GitHub Releases page.

Key Features

  • Add and install LLM models using Hugging Face model IDs
  • Image resolution scaling for model inputs
  • Releases downloadable from the project's GitHub Releases page
  • Supports model deployment workflows

Ideal Use Cases

  • Quickly add a Hugging Face model by ID for testing
  • Deploy and manage LLMs for local development
  • Adjust image resolution before model inference
  • Evaluate multiple LLMs using standard Hugging Face model IDs

Getting Started

  • Download the latest release from the GitHub Releases page
  • Follow the repository README for installation and setup
  • Add a model by providing its Hugging Face model ID
  • Configure image resolution scaling in the tool settings or config
  • Run the tool to install and load the selected model

Pricing

Pricing or licensing information is not disclosed in the provided data. Check the repository releases or project documentation for details.

Key Information

  • Category: Model Serving
  • Type: AI Model Serving Tool
Visit Official Website

Related Tools

Replicate

A platform that allows users to run, host, and share AI models via an API, supporting a variety of generative tasks.
Hugging Face

A robust AI platform where the machine learning community collaborates on models, datasets, and applications.
Hugging Face Spaces

A platform for hosting machine learning demo apps with support for GPU acceleration, Docker, and custom Python environments.
HUGS

Optimized, zero‐configuration inference microservices from Hugging Face designed to simplify and accelerate the deployment of open AI models via an OpenAI‐compatible API.
OpenVINO

OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference across various platforms. It supports models trained with popular frameworks and enhances performance for deep learning tasks in computer vision, automatic speech recognition, and natural language processing.
Hugging Face Hub

The official Python client for the Hugging Face Hub, allowing users to interact with pre-trained models and datasets, manage repositories, and run inference on deployed models.