Q.What is Hugging Face?
A.Hugging Face is a platform where the machine learning community collaborates on models, datasets, and applications to advance and democratize artificial intelligence through open source and open science.
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Hugging Face
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💲Freemium
Hugging Face offers a platform for the machine learning community to collaborate on models, datasets, and applications. It provides tools for hosting, deploying, and accelerating ML projects, with both free and paid options for compute resources and enterprise solutions.
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Platform
web
Artificial intelligenceCollaborationCommunityComputeDatasetsDeploymentInference
What is Hugging Face?
Hugging Face is an AI community platform for open-source ML models, datasets, and applications. It serves machine learning developers and researchers by providing tools for collaboration, deployment, and compute resources.
Core Technologies
- Machine Learning
- Artificial Intelligence
- Open Source
- Cloud Computing
Key Capabilities
- Host and share ML models and datasets
- Build and deploy ML applications
- Access pre-trained models
- Collaborate on ML projects
- Deploy models on managed infrastructure
Use Cases
- Finding and using pre-trained models for ML tasks
- Collaborating on ML projects with other researchers
- Deploying ML applications for public use
- Accelerating ML development with optimized compute
- Building and sharing custom datasets
Core Benefits
- Large and active community
- Extensive collection of pre-trained models and datasets
- Tools for collaboration and deployment
- Open-source focus
- Variety of compute options
Key Features
- Model Hub with thousands of pre-trained models
- Dataset Hub with diverse datasets
- Spaces for building and hosting ML applications
- Inference Endpoints for deploying models
- Paid compute resources for ML applications
- Enterprise solutions with security and support
How to Use
- 1Explore and download pre-trained models and datasets
- 2Host and collaborate on ML projects
- 3Deploy models on Inference Endpoints
- 4Upgrade Spaces applications to use GPUs
- 5Access paid compute resources for ML development
Pricing Plans
HF Hub
Free
Host unlimited public models, datasets, create unlimited orgs, access ML tools, community support.
Pro Account
$9/month
ZeroGPU and Dev Mode for Spaces, free credits across all Inference Providers, early access to features, Pro badge.
Enterprise Hub
$20 per user per month
SSO and SAML support, select data location, audit logs, resource groups, centralized token control, Dataset Viewer for private datasets, advanced compute options for Spaces, 5x more ZeroGPU quota, deploy Inference on your own Infra, managed billing, priority support.
Spaces Hardware
Starting at $0/hour
Free CPUs, build more advanced Spaces, 7 optimized hardware available, from CPU to GPU to Accelerators.
Inference Endpoints
Starting at $0.032/hour
Deploy dedicated Endpoints in seconds, keep your costs low, fully-managed autoscaling, enterprise security.
Frequently Asked Questions
Q.What are Spaces?
A.Spaces are a way to host ML applications and demos on the Hugging Face Hub, which can be upgraded with custom on-demand hardware.
Q.What are Inference Endpoints?
A.Inference Endpoints offer a secure production solution to easily deploy any ML model on dedicated and autoscaling infrastructure, directly from the HF Hub.
Q.What is the Pro Account?
A.The Pro Account is a monthly subscription that provides access to powerful features such as ZeroGPU, Spaces Dev Mode, and free credits across all Inference Providers.
Pros & Cons (Reserved)
✓ Pros
- Large and active community
- Extensive collection of pre-trained models and datasets
- Tools for collaboration and deployment
- Open-source focus
- Variety of compute options
✗ Cons
- Can be overwhelming for beginners
- Paid compute resources can be expensive
- Enterprise solutions require a subscription
Alternatives
No alternatives found.