Hugging Face
AI model hub and inference platform
Best For
About Hugging Face
What this tool does and how it can help you
AI model hub and inference platform
Prompts for Hugging Face
Challenges using Hugging Face
Key Capabilities
What you can accomplish with Hugging Face
Model Hosting Hub
Platform for sharing and hosting machine learning models with over 1M+ models available. Provides a collaborative environment where developers can upload, version, and share models across various domains and modalities including NLP, computer vision, audio, and more.
Datasets Repository
Collaborative dataset sharing platform with 250k+ datasets available. Supports multiple data types and research domains, enabling teams to share, version, and collaborate on datasets for machine learning projects.
Spaces
Platform for deploying AI applications with 400k+ applications available. Allows developers to create and host interactive AI demos, tools, and applications using Gradio, Streamlit, or custom Docker containers.
Inference API
Serverless API for running inference on thousands of models hosted on Hugging Face. Provides free accelerated inference for testing and prototyping, with options for dedicated endpoints for production deployments.
Transformers Library
State-of-the-art machine learning framework for PyTorch, TensorFlow, and JAX. Provides thousands of pretrained models to perform tasks on texts, vision, and audio with easy-to-use APIs.
Tool Details
Technical specifications and requirements
License
Freemium
Pricing
Unknown
Supported Languages
Feature Highlights
Detailed features and capabilities
Model Hosting Hub
Platform for sharing and hosting machine learning models with over 1M+ models available. Provides a collaborative environment where developers can upload, version, and share models across various domains and modalities including NLP, computer vision, audio, and more.
Datasets Repository
Collaborative dataset sharing platform with 250k+ datasets available. Supports multiple data types and research domains, enabling teams to share, version, and collaborate on datasets for machine learning projects.
Spaces
Platform for deploying AI applications with 400k+ applications available. Allows developers to create and host interactive AI demos, tools, and applications using Gradio, Streamlit, or custom Docker containers.
Inference API
Serverless API for running inference on thousands of models hosted on Hugging Face. Provides free accelerated inference for testing and prototyping, with options for dedicated endpoints for production deployments.
Transformers Library
State-of-the-art machine learning framework for PyTorch, TensorFlow, and JAX. Provides thousands of pretrained models to perform tasks on texts, vision, and audio with easy-to-use APIs.
Inference Endpoints
Fully managed infrastructure for deploying models to production on dedicated hardware (CPUs, GPUs, TPUs). Features include autoscaling, monitoring, logging, and secure VPC connections for enterprise deployments.
Hub Collaboration Tools
Git-based version control for models and datasets with features like pull requests, discussions, and model cards. Enables teams to collaborate on ML projects with proper versioning and documentation.
Enterprise Security
Advanced security features including SSO, audit logs, dedicated support, and SOC2 Type certification. Provides secure offline endpoints accessible only through direct VPC connections for sensitive workloads.