Hugging Face, Inc.
Private | |
ISIN | 🆔 |
Industry | Artificial intelligence, machine learning, software development |
Founded 📆 | 2016 in New York City |
Founder 👔 | |
Headquarters 🏙️ | , , U.S. |
Area served 🗺️ | Worldwide |
Key people | Clément Delangue (CEO), Julien Chaumond (CTO), Thomas Wolf (CSO) |
Products 📟 | Transformers, datasets, spaces |
Members | |
Number of employees | |
🌐 Website | huggingface |
📇 Address | |
📞 telephone | |
Hugging Face, Inc. is an American company that develops tools for building applications using machine learning.[1] It is most notable for its Transformers library built for natural language processing applications and its platform that allows users to share machine learning models and datasets.
History[edit]
The company was founded in 2016 by Clément Delangue, Julien Chaumond, and Thomas Wolf originally as a company that developed a chatbot app targeted at teenagers.[2] After open-sourcing the model behind the chatbot, the company pivoted to focus on being a platform for democratizing machine learning.
In March 2021, Hugging Face raised $40 million in a Series B funding round.[3]
On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model.[4] In 2022, the workshop concluded with the announcement of BLOOM, a multilingual large language model with 176 billion parameters.[5]
On December 21, 2021, the company announced its acquisition of Gradio, a software library used to make interactive browser demos of machine learning models.[6]
On May 5, 2022, the company announced its Series C funding round led by Coatue and Sequoia.[7] The company received a $2 billion valuation.
On May 13, 2022, the company introduced its Student Ambassador Program to help fulfill its mission to teach machine learning to 5 million people by 2023.[8]
On May 26, 2022, the company announced a partnership with Graphcore to optimize its Transformers library for the Graphcore IPU.[9]
On August 3, 2022, the company announced the Private Hub, an enterprise version of its public Hugging Face Hub that supports SaaS or on-premise deployment.[10]
Services and technologies[edit]
Transformers Library[edit]
The Transformers library is a package that contains open-source implementations of transformer models for text, image, and audio tasks. It is compatible with the PyTorch and TensorFlow deep learning libraries and includes implementations of notable models like BERT and GPT.[11]
Hugging Face Hub[edit]
The Hugging Face Hub is a platform where users can share pretrained datasets, models, and demos of machine learning projects.[12] The Hub contains GitHub-inspired features for code-sharing and collaboration, including discussions and pull requests for projects. It also hosts Hugging Face Spaces, a hosted service that allows users to build web-based demos of machine learning apps using the Gradio or Streamlit.
References[edit]
- ↑ "Hugging Face – The AI community building the future". huggingface.co. Retrieved 2022-08-20.
- ↑ "Hugging Face wants to become your artificial BFF". TechCrunch. Retrieved 2022-08-20.
- ↑ "Hugging Face raises $40 million for its natural language processing library".
- ↑ "Inside BigScience, the quest to build a powerful open language model". 10 January 2022.
- ↑ "BLOOM". bigscience.huggingface.co. Retrieved 2022-08-20.
- ↑ "Gradio is joining Hugging Face!". huggingface.co. Retrieved 2022-08-20.
- ↑ Cai, Kenrick. "The $2 Billion Emoji: Hugging Face Wants To Be Launchpad For A Machine Learning Revolution". Forbes. Retrieved 2022-08-20.
- ↑ "Student Ambassador Program's call for applications is open!". huggingface.co. Retrieved 2022-08-20.
- ↑ "Graphcore and Hugging Face Launch New Lineup of IPU-Ready Transformers". huggingface.co. Retrieved 2022-08-19.
- ↑ "Introducing the Private Hub: A New Way to Build With Machine Learning". huggingface.co. Retrieved 2022-08-20.
- ↑ "🤗 Transformers". huggingface.co. Retrieved 2022-08-20.
- ↑ "Hugging Face Hub documentation". huggingface.co. Retrieved 2022-08-20.
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