Hugging Face is a community-driven platform and suite of tools for machine learning practitioners to discover, share, evaluate, fine-tune, and deploy models and datasets. It hosts the Hugging Face Hub (model and dataset registry), the Transformers library (model definitions for text, vision, audio, and multimodal), Datasets tooling, and Spaces for hosting interactive demo apps (Gradio/Streamlit). The platform emphasizes open source, collaboration (git-based model/Dataset management, organizations, and community contributions), model evaluation, and managed offerings for teams and enterprises, enabling rapid prototyping, reproducible research, and scalable inference.