Hugging Face Ranks
#37Top 50in 16,620 AI Tools
Machine Learning Unleashed: Hugging Face, Your Gateway to AI Innovation
Machine learning is transforming countless industries, and Hugging Face stands at the forefront of this revolution. This vibrant AI community provides a user-friendly platform for building, training, and deploying cutting-edge AI models with ease. Whether you're an experienced researcher or just starting your AI journey, Hugging Face empowers you to create sophisticated applications in natural language processing (NLP) without requiring extensive machine learning expertise. Its vast library of pre-trained models, collaborative environment, and comprehensive documentation make it a powerful tool for accelerating your AI development process.
Pricing
Pricing:
Pricing Plans:
Build your ML portfolio. Share your work with the world and your own ML profile. Hourly price FREE.
Boost your personal HF experience. 10x private storage capacity, 20x included inference credits, 8x ZeroGPU quota and highest queue priority, Spaces Dev Mode & ZeroGPU Spaces hosting, Publish blog articles on your HF profile, Dataset Viewer for private datasets, Show your support with a Pro badge.
Instant setup for growing teams. SSO and SAML support, Choose data location with Storage Regions, Detailed action reviews with Audit Logs, Granular access control via Resource Groups, Repository usage Analytics, Set auth policies and default repository visibility, Centralized token control and approvals, Dataset Viewer for private datasets, Advanced compute options for Spaces, All organization members get ZeroGPU and Inference Providers PRO benefits.
Custom onboarding and enterprise features. All benefits from the Team plan, Highest storage, bandwidth, and API rate limits, Managed billing with annual commitments, Legal and Compliance processes, Personalized support. Contact Sales.
HUGS is available at no additional charge; users only pay for the compute resources utilized to run the containers.
CPU Instances across providers like AWS, Azure, and GCP, with hourly rates ranging from $0.033 to $0.536, depending on the instance's specifications. Billing calculated per minute based on hourly rate.
Accelerator Instances including AWS Inferentia2 and Google TPU v5e, with hourly rates between $0.75 and $12, based on the instance's capabilities. Billing calculated per minute based on hourly rate.
Free to run, with an option to upgrade compute resources to CPU-basic for enhanced performance.
Require compute resources to execute participants' code. Organizers can select from various CPU and GPU instances (e.g., T4, A10g, A100), with costs charged per hour.
Spaces allow users to run machine learning demos with customizable hardware. Hardware upgrades are available, with pricing starting at $0.60 per hour for GPU usage. No subscription required; add credit card.
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