Modelscope
ModelScope is an open-source platform that aggregates machine learning models from various AI domains including computer vision, natural language processing, speech, multi-modality, and scientific computation. It operates on a Model-as-a-Service (MaaS) concept, providing a unified library that enables developers to perform model inference, training, fine-tuning, and evaluation with minimal code. The platform supports popular deep learning frameworks and offers backend services such as entity lookup, version control, and cache management. Users can access models through the ModelScope website for online demos, cloud-based notebooks with CPU/GPU environments, and API integrations for deployment in applications. The platform allows public model downloads without requiring account registration and standardizes models as callable APIs to facilitate integration into various applications. ModelScope targets AI developers looking for a comprehensive solution to explore, deploy, and customize machine learning models across multiple domains.
ModelScope is an open-source MaaS platform providing unified APIs for inference, training, fine-tuning, and evaluation of machine learning models across multiple AI domains.
Model Exploration and Deployment
AI developers can browse and download models from multiple domains for experimentation and deployment.
Model Training and Fine-tuning
Developers can perform training and fine-tuning of models using unified APIs with minimal code.
Application Integration
Models can be standardized as APIs and integrated into applications via API calls after token configuration.
pip install modelscope or pip install modelscope[science] for scientific models.pipeline function from modelscope.pipelines with a model directory or model ID to perform inference.