Hugging Face is an AI community building the future. They provide tools that enable users to build, train and deploy ML models based on open source code and technologies.
Why this server?
Connects to MiniMax's Hugging Face organization to access related models and resources
Why this server?
Integrates with Hugging Face for model hosting and distribution, with links to MiniMax AI models on the platform.
Why this server?
Automatically downloads the latest OpenGenes database and documentation from Hugging Face Hub, ensuring access to up-to-date aging and longevity research data without manual file management
Why this server?
Allows interaction with the Hugging Face Dataset Viewer API, providing tools for browsing, searching, filtering, and analyzing datasets hosted on the Hugging Face Hub, along with support for authentication for private datasets.
Why this server?
Enables deployment of the MCP server with a Gradio UI interface on Hugging Face's platform for web-based access to quantitative finance tools.
Why this server?
Allows retrieval of daily featured papers, trending models, and popular datasets from Hugging Face Hub, providing insights into the latest developments in machine learning models.
Why this server?
Integrates with Hugging Face models for document embeddings, supporting the semantic search functionality.
Why this server?
Uses Hugging Face's sentence transformers API to generate embeddings for semantic search in the RAG system, specifically leveraging the sentence-transformers/all-MiniLM-L6-v2 model for document and memory vectorization
Why this server?
Provides read-only access to Hugging Face Hub APIs, allowing interaction with models, datasets, spaces, papers, and collections. Includes tools for searching and retrieving detailed information across these resource types.