Hugging Face

As discussed briefly in the introduction, the primary goal of Hugging Face is to democratize access to state-of-the-art NLP technologies and facilitate their adoption across various industries and applications. By providing an extensive library of pre-trained models (over 120,000 at the time of this writing), user-friendly APIs, and a collaborative environment for model sharing and fine-tuning, Hugging Face empowers developers and researchers to create advanced language processing applications with ease.

Building upon that foundation, Hugging Face doesn’t just stop at providing an extensive library; it also ensures streamlined access and effective application management. One of the standout features to this end is the Model Hub.

Model Hub

Hugging Face offers resources and services focused on the needs of both researchers and businesses. These include the Model Hub, which serves as a central repository for pre-trained models including inference APIs that...