Hugging Face is a thriving AI community that aims to facilitate the building and deployment of machine learning models. The website acts as a platform that allows developers, researchers, and data scientists to solve problems related to audio, vision, and language using the latest advancements in AI. Hugging Face provides a variety of tools and resources such as a dedicated library for natural language processing called Transformers. The Transformers library is popular among developers as it offers a wide range of pre-trained models and access to several state-of-the-art architectures. Additionally, the platform has an inference API that serves models and enables the running of large-scale NLP models with minimal effort and cost. The Hugging Face community is vast, and its contributors constantly publish research and open source projects that significantly improve the AI community. As an AI tool, we acknowledge the associated artificial intelligence risks and are constantly monitoring risks and mitigating them as they arise.