The Hugging Face Transformers Library | Example Code + Chatbot UI with Gradio

Video Description

🤝 Work with me: https://www.shawhintalebi.com 🚀 Ship AI apps in weeks, not months: https://aibuilder.academy/ This is the 3rd video in a series on using large language models (LLMs) in practice. Here, I give a beginner-friendly guide to the Hugging Face Transformers library, which provides an easy and cost-free way to work with various open-source language models. ▶️ Series Playlist: https://www.youtube.com/playlist?list=PLz-ep5RbHosU2hnz5ejezwaYpdMutMVB0 📰 Read more: https://medium.com/towards-data-science/cracking-open-the-hugging-face-transformers-library-350aa0ef0161?sk=225a4171af141daeb3869dcf614201dd 💻 Example code: https://github.com/ShawhinT/YouTube-Blog/tree/main/LLMs/hugging-face More resources pipeline() doc: https://huggingface.co/docs/transformers/main_classes/pipelines#transformers.pipeline.task pip installation: https://huggingface.co/docs/transformers/installation Vanilla Chatbot demo: https://huggingface.co/spaces/shawhin/vanilla-chatbot Intro - 0:00 What is Hugging Face? - 1:05 🤗Transformers - 2:05 Models - 4:40 Installation - 8:24 Sentiment Analysis - 9:49 Summarization - 11:48 Conversational - 13:04 Chatbot UI with Gradio - 14:42 Web app with Spaces - 17:38 What's next? - 20:46