Build Your Own HuggingFace-Style Model Repository: Create a Dedicated Model Publishing Platform!
📌 Scenario Overview
This solution is designed for universities, research institutions, and AI startups looking to establish their own model publishing platform. It enables users to host, manage, and publicly showcase their AI model achievements. Through CSGHub, users can:
- Upload model files
- Create model cards
- Provide public inference APIs for testing
- Build a complete model sharing and feedback loop
Whether publishing pre-trained models, experimental results, or facilitating community collaboration, this solution provides users with a stable, efficient, and controllable model hosting platform.
🧭 Workflow
1. Deploy CSGHub
- Deploy CSGHub on cloud services or private servers.
- Optionally use Docker images for rapid deployment. After configuration, access the deployed domain to see the CSGHub login page.
2. Create Models and Set Public/Private Permissions
- Log in to the deployed model platform and create models.
- Supports setting model visibility to "Public" or "Private". Public models are visible to the entire community, while private models are accessible only to owners, meeting different application scenarios.
3. Submit Model Weights and Documentation
Upload model-related files, including weights (e.g., .bin, .pt, .safetensors), config.json configuration files, and README.md model documentation.
Multiple model upload methods are provided.
The system generates model card pages based on README file information. Additionally, it automatically parses model inheritance relationships to generate a model tree.
4. Enable Public Inference API
- To provide online trial services, contact the platform administrator to enable the public inference API for the model.
- After API activation, users can perform real-time inference testing on the model details page.
5. Integrate Model Services via API
- The platform provides standard inference API interfaces and access credentials, making it easy to integrate model services into front-end pages, chatbots, or business systems for code-level calls.
6. Collect User Feedback via Comment System
- Model pages support community comment functionality, allowing users to discuss model performance, raise questions, or provide suggestions to help development teams continuously optimize model capabilities.
✨ Final Results
- Own a HuggingFace-style model hosting platform with permission management, version control, and model card display.
- Models support online trials, API calls, and community interaction, facilitating research sharing and user feedback collection.
- Provides a unified model asset management solution for enterprises, universities, or research teams.
- Supports private deployment to meet data security and corporate compliance requirements.