Hugging Face

What is Hugging Face?

Hugging Face is a Git-based hub where people share, discover and run machine learning models, datasets and apps. Individuals use a free account with public and private repositories, then add a PRO account for more storage, monthly inference credits and higher ZeroGPU quota. Spaces host demos built with Gradio or Docker, and upgraded hardware is billed hourly, from a free CPU Basic tier up to multi-GPU configurations. Inference Providers routes requests to 200+ models from partner providers with pay-as-you-go billing and no markup, while Inference Endpoints deploys a model on dedicated autoscaling hardware starting at $0.033 per hour. Organizations choose Team at $20 per user per month, Enterprise from $50 per user per month, or custom Enterprise Plus, which add SSO, audit logs, access controls and higher rate limits. Storage is also sold per terabyte with volume discounts.

Use cases

• Host and share machine learning models
• Publish datasets with a viewer
• Deploy demo apps on Spaces
• Run inference through partner providers
• Deploy models on dedicated endpoints
• Manage private ML work for a team
• Fine-tune and evaluate models with Jobs

Who it's for

• ML engineers
• Data scientists
• AI researchers
• Developers
• Enterprise AI teams

Why use Hugging Face

• A single place to host models, datasets and demos means collaborators can reproduce your work from one repository.
• Inference Providers passes provider rates through without extra fees, so costs stay predictable.
• You can start on the free tier and scale to dedicated GPUs only when a project needs them.
• Organization plans add SSO, access control and audit logs without leaving the platform.

Hugging Face features

• Git-based repositories for models, datasets and Spaces
• Spaces for Gradio and Docker apps with on-demand GPU hardware
• ZeroGPU access with quota that rises on paid plans
• Inference Providers with pay-as-you-go billing across 200+ models
• Inference Endpoints on dedicated, autoscaling CPU, GPU and accelerator instances
• Dataset viewer for private datasets on paid plans
• Team and Enterprise SSO, audit logs and resource groups
• SCIM provisioning on Enterprise plans
• Per-terabyte storage pricing with volume discounts
• Community GPU grants for side projects

Hugging Face integrations

• AWS
• Microsoft Azure
• Google Cloud
• Gradio
• Docker
• VS Code

How to get started with Hugging Face

1. Create a free account and publish a model, dataset or Space as a Git repository.
2. Share it publicly or keep it private, and invite collaborators or an organization.
3. Run demos on Spaces, using free CPU hardware or paid GPUs when you need more compute.
4. Call hosted models through Inference Providers, or deploy your own on a dedicated Inference Endpoint.
5. Move to PRO, Team or Enterprise when you need more storage, credits, quotas or security controls.

Hugging Face limitations

• Free accounts get a small monthly inference credit, stated as $0.10 and subject to change
• Free accounts have 100GB of private storage, and public storage is best effort
• Upgraded Space hardware and dedicated endpoints are billed hourly on top of any plan
• Several advanced security features need Enterprise Plus

Hugging Face pricing

Yes, Hugging Face has a free plan. Paid plans start at $20 per month, according to the official pricing page on 24 Oct 2026.

Hugging Face plans

• Free

  $0

  • 100GB private storage
  • Free CPU Basic Space
  • Free ZeroGPU access with a daily quota
  • Small monthly inference credit

• PRO Account

  Price on vendor site

  • 10x private storage capacity
  • 2x public storage capacity
  • $2 of inference credits monthly
  • 8x ZeroGPU quota and top queue priority
  • Spaces Dev Mode

• Team

  $20/month per user

  • Advanced RBAC and audit logs
  • Basic SSO and enforced 2FA
  • Data residency
  • $2 per seat monthly compute credits

• Enterprise

  From $50/month per user

  • Everything in Team
  • SCIM provisioning
  • Service accounts
  • Email support with SLA
  • Higher API rate limits

• Enterprise Plus

  Custom

  • Managed SSO and policy controls
  • Network access controls
  • Advanced Slack support
  • Legal review and customer paper

Plans as listed on the official pricing page on 24 Oct 2026. Prices can change and may vary by country or exclude tax. Check the official pricing page.

Hugging Face alternatives

The main Hugging Face alternatives listed on Debuly are Replicate, Together AI, Modal, Weights & Biases, FlexAI and IBM watsonx.ai. The table compares pricing and platforms; order is A–Z.

1. 

   FlexAI

   OpenAI-compatible inference API, dedicated GPU endpoints and fine-tuning for open models, billed per token or per GPU-hour.

   Developer platformsCoding
   PaidVisit FlexAI (official site)
2. 

   IBM watsonx.ai

   IBM's AI development studio for building generative AI apps and agents with foundation models, prompt tools, and machine learning, billed by usage.

   Developer platformsCodingAutomation and agents
   FreemiumVisit IBM watsonx.ai (official site)
3. 

   Modal

   Serverless cloud platform for running AI inference, training, batch jobs and agent sandboxes, billed per second of compute.

   Developer platformsAutomation and agentsCoding
   FreemiumVisit Modal (official site)
4. 

   Replicate

   Cloud API for running, fine-tuning and deploying open-source and proprietary AI models, billed by compute time or by output.

   Developer platformsImage generationVideo
   PaidVisit Replicate (official site)
5. 

   Together AI

   AI cloud for running open-source models through serverless and batch inference, dedicated endpoints, GPU clusters and fine-tuning.

   Developer platformsCoding
   PaidVisit Together AI (official site)
6. 

   Weights & Biases

   Platform for tracking ML experiments and tracing, evaluating and monitoring LLM apps and agents with W&B Weave.

   Developer platformsCodingAutomation and agents
   FreemiumVisit Weights & Biases (official site)

Hugging Face FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from huggingface.co · fetched 23 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: from huggingface.co · fetched 23 Oct 2026 · Vendor marketing image from the official site; removed on request

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