README.md

---
title: README
emoji: 🦀
colorFrom: green
colorTo: red
sdk: static
pinned: false
license: apache-2.0
---


# Introduction

[ModelScope]( https://www.modelscope.cn) is built upon the notion of “Model-as-a-Service” (MaaS). It seeks to bring together most advanced machine learning models from the AI community, and streamlines the process of leveraging AI models in real-world applications. We are joining hands with HuggingFace to make AI more accessible for everyone.

To use models in ModelScope, you can `pip install modelscope` or refer to our github repo [https://github.com/modelscope/modelscope](https://github.com/modelscope/modelscope)

# Models and Online Accessibility

Tens of thousands of models are made publicly available on [ModelScope]( https://www.modelscope.cn), covering the latest development in areas such as NLP, CV, Audio, Multi-modality, and AI for Science, etc. Many of these models represent the SOTA in their specific fields, and made their open-sourced debut on ModelScope. Users can visit ModelScope([modelscope.cn](http://www.modelscope.cn)) and experience first-hand how these models perform via online experience, with just a few clicks. Immediate developer-experience is also possible through the ModelScope Notebook, which is backed by ready-to-use CPU/GPU development environment in the cloud - only one click away on [ModelScope](https://www.modelscope.cn).
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  **Note:** Most models on ModelScope are public and can be downloaded without account registration on ([ModelScope website](www.modelscope.cn)), please refer to instructions for [model download](https://modelscope.cn/docs/%E6%A8%A1%E5%9E%8B%E7%9A%84%E4%B8%8B%E8%BD%BD), for dowloading models with api provided by modelscope library or git.

# Open source repositories

ModelScope has open-sourced numerous libraries available for deep learning, here lists some of them:

1. [The main modelscope library](https://github.com/modelscope/modelscope): The main repo of ModelScope, with the capatilities of model inference, model training and model structures.
2. [The SWIFT library](https://github.com/modelscope/ms-swift): The LLM&MLLM training repo of ModelScope, developers can use this repo to train 500+ LLMs and MLLMs, covering the training stage of PT, SFT, RLFT, RLVR(GRPO).
3. [The DiffSynth library](https://github.com/modelscope/DiffSynth-Studio?tab=readme-ov-file): The SD training repo of ModelScope, developers can train and infer SD models with this repo.
4. [ModelScope-Agent](https://github.com/modelscope/modelscope-agent): A single agent framework with basic capatilities of code interpeter, RAG and tool calling.
5. [AgentScope](https://github.com/modelscope/agentscope): A multi-agent framework not only the basic capatilities of common agent framework, but also workflow editing and multi-player games.
6. [Funasr](https://github.com/modelscope/FunASR):A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.