Hugging Face – The AI community building the future.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Hugging Face is a technology company that develops tools for building applications using machine learning. It is best known for its open-source library, Transformers, which provides state-of-the-art general-purpose architectures for Natural Language Understanding (NLU) and Natural Language Generation (NLG). The site serves as a hub for sharing and discovering models, datasets, and demos related to machine learning, particularly in the field of NLP (Natural Language Processing).
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Domain Rating
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Domain Authority
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Citation Level
2016
English, etc
Website Key Features
Transformers Library
An open-source library offering pre-trained models for a wide range of NLP tasks.
Model Hub
A platform for sharing and discovering machine learning models, including those for NLP, computer vision, and more.
Datasets
Access to a wide variety of datasets for training and evaluating machine learning models.
Spaces
A feature allowing users to create and share machine learning demos and applications directly on the site.
Inference API
Provides easy access to pre-trained models for inference, enabling quick integration into applications.
Community
A vibrant community of developers, researchers, and enthusiasts sharing knowledge and collaborating on projects.
Documentation
Comprehensive guides and API references to help users get started with the platform and its tools.
Training
Resources and tools for training custom models using Hugging Face's libraries and infrastructure.
Open Source
Commitment to open-source development, with many tools and libraries freely available for use and contribution.
Research
Focus on cutting-edge research in machine learning, particularly in NLP, contributing to the advancement of the field.
Similar Sites and Competitors
Additional information
Headquarters
New York, USA
Founders
Clément Delangue, Julien Chaumond, Thomas Wolf
Mission
To democratize machine learning and make it accessible to everyone, enabling the development of applications that can understand and generate human language.
Community Size
Millions of users worldwide, including developers, researchers, and companies.
Partnerships
Collaborations with leading tech companies and research institutions to advance the field of machine learning.
Funding
Backed by prominent venture capital firms, supporting its growth and development efforts.
HTTP headers
Security headers report is a very important part of user data protection. Learn more about http headers for huggingface.co