Empower ML collaboration through shared models and datasets
Hugging Face is a collaborative platform where machine learning enthusiasts and professionals share AI models, datasets, and applications. It hosts over 1 million pre-trained models and 250k datasets across text, image, audio, and 3D modalities. The platform simplifies AI development with open-source tools and enterprise solutions for teams needing secure, scalable ML infrastructure.
Access 1M+ community-shared machine learning models
Build with Transformers, Diffusers, and other ML libraries
Work with text, images, audio, video, and 3D data
Deploy models with pay-as-you-go cloud resources
SSO, audit logs, and private dataset management
Developers create AI applications using pre-trained models for NLP, computer vision, and generative AI through Spaces and Inference Endpoints.
No – it serves everyone from students experimenting with ML to enterprises deploying production AI systems.
Free users get unlimited access to public models/datasets and basic app hosting, with compute upgrades available.
This tool is best for:
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Recent data shows that Hugging Face has 25.5M monthly visits (7.0% increase from the previous month), 44.0% bounce rate, and average 5.87 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 5 countries worldwide, led by United States contributing 17% of total traffic. SEO performance is shown by 5 tracked keywords, with "hugging face" being the top-performing keyword with 760.7K monthly searches. See below for more info.
Monthly Visits
25.5M
Pages per Visit
5.87
Bounce Rate
44.0%
Average Time on Site
4m 47s
| SEO Keyword | Volume | CPC |
|---|---|---|
| hugging face | 760.7K | $1.27 |
| huggingface | 285.5K | $1.66 |
| hug face | 15.1K | $0.84 |
| deepsite | 202.0K | $1.28 |
| hugginface | 20.4K | $2.00 |
| Source | Traffic Share |
|---|---|
| Direct | 49% |
| Search | 35% |
| Social | 3% |
| Referrals | 13% |
| Country Name | Traffic Share |
|---|---|
 | 17% |
 | 16% |
 | 9% |
 | 5% |
 | 3% |
Promote your Toolbit Launch by using the badge on your website. It can be inserted on your home page or footer easily.
How to use: Simply copy and paste the embed code into your homepage or footer HTML to display it instantly and build community support.
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