CIOPages

About Hugging Face

Hugging Face is a platform where the machine learning community collaborates on models, datasets, and applications.

Key Capabilities

  • Access to 45,000+ AI models via unified API
  • Hosting and collaboration on public and private ML models
  • Enterprise-grade security with single sign-on and audit logs
  • Optimized inference endpoints with GPU support
  • Support for multiple data modalities including text and 3D

Integrations

PyTorchTransformers libraryDiffusers library

Related Buyer Guides

Independent evaluation frameworks for this category.

AI Agent & Agentic AI Platforms
Compare LangGraph, CrewAI, Microsoft Agent Framework, OpenAI Agents SDK, Google ADK, AWS Bedrock AgentCore, LlamaIndex, and Temporal — where production operability, not the slickest multi-agent demo, is the deciding criterion.
AI Governance & Responsible AI
Evaluate IBM watsonx.governance, Credo AI, Microsoft Purview, ServiceNow, Holistic AI, Fiddler, Arthur, and Monitaur — and decide first whether your gap is governance and compliance or ML observability, because the EU AI Act and NIST AI RMF reward the platform wired into how models are built and run.
Computer Vision & Visual AI
Evaluate Google Vision/Vertex AI, AWS Rekognition, Azure AI Vision, Landing AI, Roboflow, Cognex, Encord, and Ultralytics — with the pretrained-API vs. custom-model and cloud vs. edge decisions, not a generic feature list, as the deciding criteria.

This profile was compiled by CIOPages from public sources with AI assistance, and may be incomplete or out of date. It is informational only and not an endorsement. Represent this vendor? Claim this listing or .

Quick Facts

huggingface.co
CategoryAI & ML Platforms
PricingSubscription
DeploymentSaaS
Target SizeEnterprise