Hugging Face
: How to use it, features, and the business problems it solves
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What is Hugging Face?
Machine learning platform run by Hugging Face (US) for publishing, sharing and finding AI models, datasets and demo apps (Spaces). With more than 2 million public models, it is the standard place to get open models such as Qwen and Stable Diffusion. Browsing and downloading are free. The inference API (Inference Providers) and GPU-backed Spaces are pay-as-you-go; PRO for individuals is $9/month and Team for organizations is $20/user/month. The interface is in English.
Business problems it solves
About "Hugging Face"
What is Hugging Face?
Hugging Face is a machine learning platform for publishing, sharing and finding AI models, datasets and demo apps. Its core service, the "Hub", hosts more than 2 million models, more than 500,000 datasets and more than 1 million demo apps (Spaces) published by companies, research institutions and individuals around the world, and more than 400,000 organizations use it (figures from the official website as of October 10, 2026). Much as GitHub is for code, it is the place where open AI models are distributed and downloaded.
Open-weight versions of Qwen, DeepSeek and Mistral, as well as many image and video generation models such as Stable Diffusion, FLUX and Wan, are downloaded from Hugging Face. Browsing and reading about models is free and requires no account.
Besides model sharing, it offers paid compute services: Spaces for publishing demos that run in the browser, Inference Providers for calling many models through a single API, and Inference Endpoints for running your own dedicated inference servers. Hugging Face also develops open-source libraries such as Transformers, Diffusers and Datasets.
How to use
- Find models and datasets On huggingface.co, browse "Models", "Datasets" and "Spaces", filtering by keyword, task (text generation, image generation, speech recognition, etc.), library, language or license. Each model page (model card) explains usage, license, training data and more.
- Create an account You don't need an account just to browse or download, but a (free) account is required to access gated models that require agreeing to terms, to create Spaces and to use the APIs.
- Download and use models
Download a model by name using the Python
huggingface_hubortransformerslibraries, or thehfcommand-line tool. Some tools, such as ComfyUI, automatically fetch the required models from Hugging Face. - Try or publish demos on Spaces In Spaces you can try demos published by others right in your browser. To build your own, create an app with Gradio, Docker or similar and publish it. Free CPU hardware (2 vCPU, 16GB RAM) and ZeroGPU (shared GPUs) are available, and more powerful GPUs can be chosen with hourly billing.
- Run inference via API
Create an access token and call models through Inference Providers. An OpenAI-compatible endpoint (
https://router.huggingface.co/v1) is also available, so existing code needs only small changes.
Key features
01The Hub (where things are shared)
- Models — Repositories of public models, with model cards, files, version history and discussions
- Datasets — Datasets for training and evaluation. Data Studio (the data viewer) lets you inspect their contents in the browser
- Spaces — A place to publish and run AI apps built with Gradio or Docker, so you can try models in the browser without installing them
- Private repositories and organizations — Keep internal models and data private and share them among organization members
02Inference and compute
- Inference Providers — An API for calling models from multiple inference providers with a single Hugging Face token. You are charged the provider's rates directly, with no markup from Hugging Face
- Inference Endpoints — Deploy a chosen model to dedicated servers (CPU or GPU) and use it as an API. Billed by the hour
- ZeroGPU — Dynamically allocates shared GPUs (NVIDIA RTX Pro 6000 Blackwell) to Spaces only when needed. Free within a daily quota
- Jobs — Run any workload on GPUs and other compute (pay-as-you-go)
03Open-source libraries and apps
- Libraries — Widely used AI development libraries including Transformers, Diffusers, Datasets, Tokenizers, PEFT, TRL, Accelerate, Safetensors and smolagents
- HuggingChat — A chat app for talking with open models. Its "Omni" router automatically picks a model for each request
Pricing
Browsing the Hub, downloading models and datasets, and creating public repositories are free. What you pay for are the higher plans (PRO, Team, Enterprise) and pay-as-you-go services such as inference and GPUs. Prices are in US dollars and are based on the official pricing page and documentation as of October 10, 2026.
| Plan | Price | Main features |
|---|---|---|
| Free | $0 | Core Hub features. 100GB of private storage. ZeroGPU: 5 minutes per day |
| PRO (individual) | $9/month | 1TB of private storage, $2 of compute credits every month, ZeroGPU 40 minutes per day (8×) with highest priority, host up to 10 ZeroGPU Spaces, Dev Mode |
| Team (organization) | $20/user/month | PRO benefits for all members, SSO (SAML/OIDC), storage regions, audit logs, access control with Resource Groups |
| Enterprise (organization) | $50/user/month | Everything in Team + the highest storage, bandwidth and API rate limits, SCIM, billing via annual commitment, dedicated support |
Compute credits: PRO accounts, and each seat in Team and Enterprise organizations, receive $2 of credits every month. They can be spent on Inference Providers, Inference Endpoints, GPU hardware for Spaces, ZeroGPU usage beyond the quota, and Jobs, and are applied automatically before any pay-as-you-go usage is billed. Free accounts get no monthly credits and must purchase credits to use Inference Providers.
Main pay-as-you-go rates (from the official pricing page)
| Service | Rate |
|---|---|
| Spaces hardware | CPU Basic (2 vCPU, 16GB) and ZeroGPU are free. CPU Upgrade $0.03/hour, NVIDIA T4 from $0.40, L4 from $0.80, A100 from $2.50, 8x L40S $23.50 |
| Inference Endpoints | CPU from $0.033/hour; GPUs from $0.50 (NVIDIA T4) up to $74.00 (8x B200) |
| Inference Providers | Provider rates passed through directly (no Hugging Face markup) |
| ZeroGPU beyond quota | $1 per 10 minutes (PRO, Team, Enterprise) |
| Private storage beyond the included amount | $18/TB/month (discounts from 50TB) |
Japanese language support
- Interface and documentation — The site interface and official documentation are in English. There is no Japanese display setting.
- Japanese models and datasets — Select Japanese in the language filter when searching to find models and datasets that support Japanese.
- Pricing and support — Prices are in US dollars, with no yen pricing. Contact points (such as billing@huggingface.co) are handled in English.
Pros and cons
Pros
- A huge number of public AI models and datasets; it is the standard place to obtain open models
- Browsing, downloading and creating public repositories are free, and Spaces lets you try demos without a local GPU
- With Inference Providers you can switch between many models using a single token and an OpenAI-compatible API
- PRO is affordable at $9/month, and paid GPUs and inference are charged only for what you use
Cons
- The interface and documentation are in English, with no Japanese display
- Licenses and terms differ by model, so you must check the model card yourself to see whether commercial use is allowed
- Paid services are billed in USD by credit card, and fees are non-refundable
- The free ZeroGPU daily quota is small (5 minutes for free accounts), and there can be queues when busy
Reputation and reviews
According to the official website, more than 400,000 organizations use Hugging Face and more than 2 million models are published there. Hugging Face also appears as the place to get the models on our pages for Qwen, Wan, ComfyUI and others. If you work with open AI models, it is hard to avoid. On the other hand, the English-only interface and the need to check each model's license can be hurdles for first-time users. A good way to get a feel for it is to start by trying the Spaces (demos) of models you are interested in, right in your browser.
FAQ
Q. Is Hugging Face free to use? A. Yes. Browsing and downloading models and datasets, creating public repositories, and Spaces on free CPU or ZeroGPU hardware are free. You pay for plans such as PRO and for pay-as-you-go services such as GPUs and inference APIs.
Q. Can I use it in Japanese? A. The site interface is in English and there is no Japanese display setting. However, you can find models and datasets that support Japanese using the language filter.
Q. Can I use downloaded models commercially? A. Licenses differ by model. Some, like Apache 2.0 or MIT, allow commercial use, while others have conditions or are limited to non-commercial use, so always check the license section of the model card.
Q. Will I get a refund if I cancel PRO? A. You can cancel at any time from your billing settings, but the Terms of Service state that all fees are non-refundable.
Q. How is it different from GitHub? A. GitHub focuses on sharing source code, whereas Hugging Face is suited to sharing large model weights and datasets, and also offers Spaces for trying models in the browser and APIs you can use for inference right away.
How it differs from other AI models and generative AI
| Service | Type | Best for |
|---|---|---|
| Hugging Face | Sharing platform for models, datasets and demo apps + inference API | Finding and obtaining a wide range of open models; publishing your own models and demos |
| Qwen | Alibaba's LLM (chat, API, open weights) | Running a publicly released LLM in your own environment |
| Stable Diffusion | Open-weight image generation model | Using an image generation model itself |
| ComfyUI | Node-based generative AI tool | Combining and running models obtained from Hugging Face and elsewhere locally |
Qwen and Stable Diffusion are "models", ComfyUI is a "tool" that runs models, and Hugging Face is the "place" where those models are distributed and shared. When using open models, a common combination is to find and download the model on Hugging Face and run it with a tool like ComfyUI or your own code.
The information on this page is as of October 10, 2026, and is based on Hugging Face's official website (home page, pricing page, Terms of Service, Privacy Policy) and official documentation (billing, storage limits, ZeroGPU, Inference Providers pricing). Prices and features may change, so please check the official website for the latest information.
