7 Hugging Face Pipelines in 14 Minutes 🤗 | Just 3 Lines of Code

Learn Hugging Face Pipelines and perform 7 powerful AI tasks with just 3 lines of Python code 🚀

In this video, we’ll explore the Hugging Face Transformers pipeline API and build practical NLP examples for:
• Sentiment Analysis
• Text Generation
• Summarization
• Translation
• Zero-Shot Classification
• Named Entity Recognition (NER)
• Fill Mask

This beginner-friendly tutorial explains how Hugging Face pipelines work and how you can use pre-trained transformer models for AI applications with minimal code.

🧠 Topics Covered:
• Hugging Face Transformers
• Pipeline() API
• NLP Tasks
• Python for AI
• Generative AI
• LLMs
• Machine Learning Basics

━━━ Chapters ━━━

00:00 Introduction
00:44 What are Hugging Face Pipelines?
01:34 Sentiment Analysis
03:52 Text Generation
05:18 Text Summarization
06:51 Translation
07:55 Zero-Shot Classification
10:21 Named Entity Recognition
12:18 Fill Mask
13:33 Limitations
13:58 Final Thoughts

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Видео 7 Hugging Face Pipelines in 14 Minutes 🤗 | Just 3 Lines of Code канала Himanshu AI Labs