Transformers Explained + NLP Pipelines | With Practical | Ep 5

This episode covers the Transformers library, NLP pipelines, tokenizers, and model basics — all with real coding examples.
You’ll learn how to use pipelines for:
✔ Text Classification
✔ Question Answering
✔ Summarization
✔ Sentiment Analysis
✔ Text Generation
Perfect for beginners in NLP.

00:22 - What is the Hugging Face Transformers Library?
03:50 - Understanding the HF Transformers Library with Practical Examples
17:53 - How the Pipeline Works Internally
20:26 - Transformers Library Documentation

👉 80% Practical • 20% Concept • 100% Developer Friendly
👉 Perfect for Python developers, AI engineers & beginners

👉 Full Course: [https://www.youtube.com/playlist?list=PLJlUSSYHG1wZLNzJj4UGOl2SPO9yMOsLU]

👉 GitHub: [https://github.com/LoopKaka/huggingface_tutorial]

Code ka chakkar, LoopKaka ke sath! 💻🌍

Generative AI For Developer: [https://www.youtube.com/playlist?list=PLJlUSSYHG1wbEj9uiMYTmGBAel5Wm2sf4]

FastAPI Playlist: [https://www.youtube.com/playlist?list=PLJlUSSYHG1wZl76UD25wGwb7Iq3YQ5rsl]

Streamlit Playlist: [https://www.youtube.com/playlist?list=PLJlUSSYHG1wZZRnJii5S7FOWzuDdN8hla]

Find me on LinkedIn: [https://www.linkedin.com/in/sangrambadi/]

💬 Join the LoopKaka Discord Community!
Got questions, doubts, or want to discuss topics from my videos?
Join our friendly Discord server to connect, learn, and grow together 👇
👉 https://discord.gg/BZwkqTsbND

Видео Transformers Explained + NLP Pipelines | With Practical | Ep 5 канала Loop Kaka