Hugging Face

Organisation profile

Hugging Face, founded in 2016 by Clément Delangue, Julien Chaumond, and Thomas Wolf, has emerged as a central hub for the machine learning community. Initially conceived as a chatbot company, Hugging Face pivoted towards becoming an open-source platform and community for sharing and collaborating on machine learning models, datasets, and tools. This shift was driven by the founders' belief in the democratization of AI and the power of open-source collaboration.  

Hugging Face is renowned for its extensive Model Hub, which hosts a vast collection of pre-trained transformer models for various natural language processing (NLP) tasks, including text classification, translation, and question answering.

The platform also provides a comprehensive suite of tools and libraries, such as Transformers, Datasets, and Tokenizers, which simplify the development and deployment of NLP models. Hugging Face's commitment to open-source principles and community-driven development has fostered a vibrant ecosystem for researchers, developers, and enthusiasts to collaborate and advance the field of machine learning.

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Useful links:

Hugging Face website

The LLM Evaluation Guidebook

Model Hub

Documentation

About Us

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Blog articles

Guilherme Penedo, Hynek Kydlíček, Loubna Ben Allal, Anton Lozhkov, Colin Raffel, Leandro Werra, Thomas Wolf, FineWeb: decanting the web for the finest text data at scale, May 31, 2024

Share your open ML datasets on Hugging Face Hub!, Blog article, November 12, 2024