What is Hugging Face?

Hugging Face is an AI DevTools platform that facilitates collaboration within the machine learning community on models, datasets, and applications.

Who is Hugging Face for?

Hugging Face is designed for teams and enterprises, inference providers, and individuals looking to collaborate on models and datasets in the machine learning field.

What can I do with Hugging Face?

With Hugging Face, you can host and collaborate on unlimited public models and datasets, access over 45,000 models from leading AI providers, and explore a vast repository of over 500,000 datasets.

How much does Hugging Face cost?

Hugging Face operates on a freemium pricing model. For GPU resources, deployment starts at $0.60 per hour.

How is Hugging Face different from alternatives?

Hugging Face stands out by fostering a community-driven approach to machine learning, allowing users to collaborate on a wide range of models and datasets while providing access to an extensive library of resources.

Does Hugging Face have a free trial?

Check Hugging Face's site for current trial availability.

Hugging Face

The AI community building the future.

AI Creative ToolsFreemiumWebsite

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Domain Rating

Monthly Traffic

Traffic Growth

+0.0%

Launch Date

Jan 2016

Est. Revenue

$130.1M

Data updated Jul 16, 2026 · Traffic data: SimilarWeb (estimated)

About Hugging Face

The platform where the machine learning community collaborates on models, datasets, and applications.

Quick facts about Hugging Face

Hugging Face is an AI tool tracked by Relve in the AI Creative Tools category. It uses a Freemium pricing model and runs on the web at huggingface.co.

The Relve catalog tracks 700+ live tools in AI Creative Tools. Hugging Face is part of the editorial tracking surface, with a Domain Rating of 58 on Ahrefs' authority scale.

Closest alternatives: ElevenLabs, 2short.ai, 2wai, 88stacks, a1. Compare Hugging Face head-to-head with any of these on the /compare surface — same feature axes, pricing tiers, and traffic side-by-side.

Best for: teams looking for ai creative tools-class capabilities with a freemium entry point. The Relve editorial team refreshes traffic, ranking, and feature data for Hugging Face on a rolling 24-hour cycle (last updated Jul 16, 2026), so the numbers above reflect the most recent snapshot of where the tool sits in the market. Traffic figures are SimilarWeb estimates.

Key Features

Collaboration & Community

Host and collaborate on unlimited public models, datasets and applications

The platform allows users to host and collaborate on an unlimited number of public models, datasets, and applications. This fosters a community-driven approach to machine learning, enabling users to share their work and learn from others. Users can easily contribute to projects and access a wealth of resources.

Build your portfolio

Users can share their work with the world and build their machine learning profile on the platform. This feature enhances visibility and allows users to showcase their contributions to the community. It serves as a professional portfolio for individuals in the machine learning field.

Model & Dataset Management

Access 45,000+ models from leading AI providers

Users can access a vast library of over 45,000 models from various AI providers through a single, unified API. This feature eliminates the need for multiple integrations and provides a seamless experience for developers. It allows users to leverage a wide range of AI capabilities without incurring service fees.

Browse 2M+ models

The platform offers a comprehensive collection of over 2 million models that users can browse through. This extensive library enables users to find the right model for their specific needs, whether for research or application development. The search functionality enhances user experience by making it easy to discover relevant models.

Browse 500k+ datasets

Users can explore a vast repository of over 500,000 datasets available on the platform. This feature provides researchers and developers with the necessary data to train and evaluate their models. The extensive dataset collection supports a variety of machine learning tasks and applications.

Compute & Deployment

Deploy on optimized Inference Endpoints

Users can deploy their models on optimized Inference Endpoints, which are designed for high performance and scalability. This feature simplifies the deployment process, allowing users to focus on building their applications rather than managing infrastructure. It ensures that models run efficiently in production environments.

Update your Spaces applications to a GPU in a few clicks

This feature allows users to easily upgrade their Spaces applications to utilize GPU resources with just a few clicks. This capability enhances the performance of applications, enabling faster processing and improved user experiences. It is particularly beneficial for resource-intensive tasks.

Starting at $0.60/hour for GPU

The platform offers GPU resources for deployment starting at a competitive rate of $0.60 per hour. This pricing model provides users with flexible options for scaling their applications based on their needs. It makes high-performance computing accessible for various projects.

Enterprise Solutions

Enterprise-grade security and access controls

The platform provides enterprise-grade security features and access controls to ensure that sensitive data and models are protected. This capability is essential for organizations that require compliance with strict security standards. Users can manage permissions and access levels effectively.

Priority Support

Enterprise users receive priority support, ensuring that their issues are addressed promptly. This feature enhances the user experience by providing dedicated assistance for critical problems. It is particularly valuable for organizations that rely heavily on the platform for their operations.

Audit Logs

The platform includes audit logs that track user activity and changes made within the system. This feature is crucial for organizations that need to maintain compliance and monitor usage. It provides transparency and accountability for all actions taken on the platform.

Resource Groups

Users can create resource groups to manage and organize their projects effectively. This feature allows for better resource allocation and project management within teams. It enhances collaboration by providing a structured approach to managing multiple projects.

Private Datasets Viewer

The platform offers a private datasets viewer for enterprise users, allowing them to manage and access sensitive datasets securely. This feature is essential for organizations that handle proprietary or confidential data. It ensures that data privacy is maintained while enabling collaboration.