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Hugging Face has raised a $40 million Series B funding round — Addition is leading the round. The company has been building an open source library for natural language processing (NLP) technologies.

There are numerous ways to run large language models such as DeepSeek, Claude or Meta's Llama locally on your laptop, including Ollama and Modular's Max platform. But if you want to fully control the ...

Clement Delangue is the co-founder and CEO of Hugging Face, a startup focused on natural language processing that has raised more than $20M. The company created Transformers, the fastest growing ...

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The Transformers library by Hugging Face provides a flexible and powerful framework for running large language models both locally and in production environments. In this guide, you’ll learn how to ...

The goal is to create a model that accepts a sequence of words such as "The man ran through the {blank} door" and then predicts most-likely words to fill in the blank. This article explains how to ...

Vulnerabilities in popular AI and ML Python libraries used in Hugging Face models with tens of millions of downloads allow remote attackers to hide malicious code in metadata. The code then executes ...