Description
ModelScope is an open-source model community that brings together AI models, datasets, and applications in one place. It lets developers explore the latest models across vision, speech, and large language models, then run inference, fine-tune, evaluate, and deploy them.
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At its core are ModelHub, an open-source hub for hosting models and datasets, and the ModelScope Library, a Python library that provides efficient model inference, fine-tuning, and evaluation through a unified interface. ModelScope Studios offers a free, flexible space where users can build and showcase AI applications based on the atomic capabilities of the models hosted on the platform.
The community publishes frequently updated model releases and datasets, and provides access to computation infrastructure for model serving so builders can start creating their own models and applications. Related open-source tooling includes EvalScope, Swift, and ModelScope-Agent.
- CategoryMachine Learning Platforms
- Pricing ModelOpen source
- DeploymentCloud
- PlatformsWeb
ModelScope's Core Features
Open-source hub (ModelHub) for hosting AI models and datasets
ModelScope Library for model inference, fine-tuning, and evaluation
Access to a broad catalog of vision, speech, and LLM models
Studios for building and showcasing AI applications
Datasets and demo spaces alongside models
Compute infrastructure for model serving
Companion tools: EvalScope, Swift, and ModelScope-Agent
How to use ModelScope?
Explore the hub: Browse models, datasets, and applications on ModelScope.
Install the library: Use the ModelScope Library to load a model for inference.
Fine-tune or evaluate: Adapt a model to your task and evaluate its performance.
Build a Studio: Assemble models into an AI application and share it as a demo.
ModelScope's Use Cases
- Model exploration
- Inference and fine-tuning
- Model evaluation
- Building AI apps
