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: • Large Language Models (LLMs)
📰 Read more: https://towardsdatascience.com/cracki...
💻 Example code: https://github.com/ShawhinT/YouTube-B...
More resources
pipeline() doc: https://huggingface.co/docs/transform...
pip installation: https://huggingface.co/docs/transform...
Vanilla Chatbot demo: https://huggingface.co/spaces/shawhin...
--
Website: https://shawhintalebi.com/
Book a call: https://calendly.com/shawhintalebi
Ask me anything: https://shawhintalebi.com/contact/
Socials
/ shawhin
/ shawhintalebi
https://vm.tiktok.com/TTPdSmadQt/
/ shawhint
/ shawhintalebi
/ shawhintalebi
The Data Entrepreneurs
🎥 YouTube: @TheDataEntrepreneurs
📰 Medium: / about
👉 Discord: / discord
📅 Events: https://lu.ma/tde
Support ❤️
https://www.buymeacoffee.com/shawhint
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