How much does Hugging Face cost?

Hugging Face offers a free tier for its Hub. Paid plans include a Pro Account for $9/month, Team plans starting at $20/user/month, and custom Enterprise solutions. Compute and storage are usage-based.

What can I do with Hugging Face?

You can discover and host millions of ML models and datasets, deploy AI applications using Inference Endpoints and Spaces, collaborate on projects with Git-based tools, and leverage open-source libraries like Transformers and Diffusers for various ML tasks.

Is Hugging Face open source?

Yes, Hugging Face is deeply committed to open source, providing numerous open-source libraries like Transformers, Diffusers, and Datasets, and fostering a community around open ML development.

Does Hugging Face offer enterprise features?

Yes, Hugging Face offers Enterprise plans with features like SSO, SAML support, data residency options, audit logs, granular access controls, advanced compute, and personalized support for organizations.

Launching soon — get early access:

AI Tools

Q: What is Hugging Face?

Hugging Face is the leading platform for the machine learning community to collaborate on models, datasets, and applications. It provides tools and infrastructure for building, sharing, and deploying AI across various modalities.

Hugging Face - ML Models, Datasets & Apps Hub | Intelloro | Intelloro

Quick Answer

Hugging Face is a leading platform for the machine learning community to discover, share, and deploy AI models, datasets, and applications. It offers a vast hub of open-source resources, powerful ML libraries, and compute infrastructure for various modalities. Best for ML researchers, developers, and enterprises building and collaborating on AI projects. Free tier available, with paid plans starting from $9/month for individuals and $20/user/month for teams.

About Hugging Face

Hugging Face is a platform for the machine learning community to collaborate on models, datasets, and applications. It provides tools for hosting, discovering, and deploying ML assets across various modalities like text, image, video, audio, and 3D. The platform offers free access to its Hub, with paid plans for advanced compute, storage, and enterprise features starting from $9/month.

What Makes It Unique

Hugging Face stands out as the central hub for the open-source machine learning community, offering a Git-based platform for hosting and collaborating on millions of public and private models, datasets, and applications, alongside a comprehensive open-source stack of ML libraries like Transformers and Diffusers.

AI-extracted from public sources. May contain errors. Methodology · Are you Hugging Face? Claim listing

Use Cases & Target Users

Use Cases

Research

Best For

Collaborating on machine learning models and datasets

Deploying and sharing AI applications

Researchers and developers building with open-source ML

Teams requiring enterprise-grade security for AI development

Fit Score

Complexity

Advanced

Target Team Size

INDIVIDUAL

SMALL_TEAM

LARGE_TEAM

Target Skill Level

EXPERT

Key Features

Host unlimited public models, datasets, and applications

Collaborate on ML projects with Git-based versioning

Explore models, datasets, and applications across text, image, video, audio, 3D modalities

Deploy ML models on optimized Inference Endpoints

Upgrade Spaces applications with GPU hardware

Access 45,000+ models from leading AI providers via unified API

Technical Specifications

API Available

SDK Available

MCP Compatible

Open Source

Apache-2.0

Team Features

Compliance, Privacy & Trust

GDPR (as claimed): Yes

SOC 2 (as claimed): Yes

HIPAA (as claimed): No

Trains on user data: No

Pros

+Vast collection of over 2 million models and 500k datasets
+Strong open-source community and extensive libraries (Transformers, Diffusers)
+Supports multiple modalities including text, image, video, audio, and 3D
+Offers flexible compute options for deploying models and applications
+Provides enterprise-grade security features like SSO, audit logs, and data residency options
+Free tier available for personal use and open-source contributions

Limitations

-Can be complex for absolute beginners without ML background
-Advanced compute and enterprise features can become costly
-Requires technical knowledge for full utilization of the platform and libraries
-No explicit mention of offline mode — requires active internet connection

Base Models

BERTLlama 3.3Mistral LargeGemma

Uses Models

Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilleds2-proLTX-2.3Qwen3.5-9B

Decision Intelligence

Best For

Collaborating on machine learning models and datasets

Deploying and sharing AI applications

Researchers and developers building with open-source ML

Teams requiring enterprise-grade security for AI development

Experimenting with various AI models and datasets

Not Ideal For

Non-technical users looking for a simple, no-code AI solution

Businesses requiring fully managed, black-box AI services without customization needs

Users who prefer proprietary, closed-source ML development environments

Individuals with no programming experience looking to build complex AI applications

Frequently Asked Questions

Your Actions

Dimension Scores

Ease of Use6/10

Output Quality7/10

Value for Money7/10

Customization9/10

Support9/10

Integration8/10

Task Scores

Multi Language Support

Code Completion

Code Explanation

Context Understanding

Documentation Generation

Security Scanning

Bug Detection

Refactoring

Trust Score

65/100

Fair

Based on 10 data signals

Reflects publicly available data, not an independent audit

Social Proof10/40

Customers (per vendor website)Ai2, AI at Meta, Amazon +5

Company Strength25/25

Team Size201-500

Funding$396 million

Company ListedHugging Face

Operational Trust20/20

Uptime SLA99.994%

Status PageView

Data ResidencyUS, EU

Open Source157.8K stars

Compliance10/15

GDPR (as claimed)Yes

SOC 2 (as claimed)Yes

Switching & Migration

Migration Difficulty

Significant Effort

Data portable as:

API

CLI

PYTHON

JAVASCRIPT

Priority Support, Personalized support

API Access

Open Source