# Hugging Face

> Platform for accessing, sharing, and deploying machine learning models and datasets.

Hugging Face is a comprehensive platform that democratizes artificial intelligence by providing tools, infrastructure, and resources for the entire machine learning lifecycle. The platform serves as a central hub for accessing, sharing, collaborating on, and deploying machine learning models and datasets. With its extensive model hub hosting thousands of open-source models, Hugging Face has become the go-to destination for practitioners seeking pre-trained models across various domains including natural language processing, computer vision, audio processing, and more.

What distinguishes Hugging Face is its unique combination of community-driven model sharing, enterprise-grade infrastructure, and accessible developer tools that have established it as the de facto standard for open-source machine learning. The platform's model hub hosts over 200,000 publicly available models and 30,000 datasets, creating an unprecedented ecosystem for ML practitioners to discover, compare, and build upon each other''s work. Hugging Face''s Transformers library provides a unified API for working with state-of-the-art models from various architectures, dramatically simplifying the process of implementing advanced AI capabilities in applications. Beyond model access, the platform offers Spaces for interactive model demos, Datasets for efficient data management, and Inference API for production deployment without the complexity of infrastructure management. The company''s enterprise offerings extend these capabilities with additional security, compliance, and scaling features for organizations deploying AI at scale. Hugging Face''s combination of technical excellence, community engagement, and comprehensive tooling has positioned it as an essential platform for both individual developers and organizations looking to leverage modern machine learning models effectively.

## Features
- Extensive model hub with 200,000+ models
- Transformers library for unified model access
- 30,000+ datasets for training and evaluation
- Spaces for interactive model demonstrations
- Inference API for serverless model deployment
- AutoTrain for no-code model training
- Enterprise deployment options
- Collaborative development tools

## Integrations
PyTorch, TensorFlow, JAX, ONNX, AWS, GCP, Azure cloud platforms, CI/CD pipelines, Docker and Kubernetes, MLOps tools

## Platforms
LINUX, MACOS, WINDOWS, WEB

## Pricing
Freemium — Free tier available with paid upgrades

## Links
- Website: https://huggingface.co
- Documentation: https://huggingface.co/docs
- Repository: https://github.com/huggingface
- EveryDev.ai: https://www.everydev.ai/tools/hugging-face