Hugging Face — Uniqtech Guide

8 min readSep 16

Uniqtech Guide to Hugging Face 🤗 special edition

Introduction to Hugging face

In this month’s bonus newsletter, we will talk about a fast growing AI platform Hugging Face 🤗 (HF), its inaugural AI party at the exploratorium — (a HBO Silicon Valley party moment), how to use it to be build AI applications fast.

What is Hugging Face? It’s one of the hottest generative AI Companies developers should know. It is a multi-purpose model hub for open-sourced, trending deep learning models. Hugging Face provides open-source alternatives to popular proprietary models. Is the future of AI open sourced? Even Google feels threatened by the rise of sites like HF. Fast Company reports, in recently leaked internal emails a senior Google Engineer warns of threats from open sourced innovations in AI (It is unclear if it is reliable information). Did you know Google AI models used to be the foundation of open-sourced AI? Google is the leading author of quite a few landmark papers and foundational models such as BERT and PaLM.

Hugging Face makes its mission to provide open-source, community-driven AI. It has more than 268K total number of stars on Github, which makes it 25th most starred organization of all time on @github on git star ranking. Source.

HF is a popular AI development platform and development tool. AI developers can use Hugging Face to accelerate AI development, deployment, save time, no need to reinvent the wheel. Its transformer and diffuser models are especially popular. It’s possible to build your own large language model and generative model using HF.

Motivation — Hugging Face Party and AI Trends, VC Funding

🤗 + 🦙+🎉

Need some motivation first? Read about the Hugging Face AI party here 🏖️ 🍾 Nov 15, 2022 :

The party was organized incredibly within one week, haphazardly on twitter, and managed to garner 5000 attendees. At first, I thought it was a joke. Many, like myself, arrived early, and were eager to get into the venue (San Francisco Exploratorium, an innovator’s museum). It was a full house. This is something I have never seen before. When organizing events at Stanford, I used to budget for a 30% attrition rate on the event…