NLP Tutorial with Hugging Face | Sentiment Analysis & Zero Shot Classification
In this video, I will show how to run powerful NLP models like sentiment analysis and zero-shot text classification on nothing more than a CPU virtual machine — no expensive GPUs needed. 🚀
You’ll learn:
What is NLP (Natural Language Processing) and why it matters
How sentiment analysis works with Hugging Face pipelines
Step-by-step demo: Writing Python code for sentiment analysis on CPU
Under-the-hood explanation of DistilBERT and tokenization
What is Zero-Shot Classification and how it adapts to new labels instantly
Hands-on demo: Classifying text into custom labels (DevOps, sports, finance, etc.)
Real-world use cases: customer support, social media monitoring, log classification
Whether you’re a beginner curious about AI or an experienced developer exploring Hugging Face, this tutorial will help you get started with NLP on CPU.
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▬▬▬▬▬▬▬ Timestamps ▬▬▬▬▬▬▬
00:00 - Introduction & What You’ll Learn
00:37 - Do You Really Need a GPU for AI?
01:08 - What is NLP (Natural Language Processing)?
01:39 - What is Sentiment Analysis?
02:25 - Setting Up Python Virtual Environment (venv) & Installing NLP Libraries
04:21 - Writing Code for Sentiment Analysis (Hugging Face + PyTorch)
08:41 - Sentiment Analysis Explained (How It Works Under the Hood)
09:48 - What is Zero-Shot Classification?
10:41 - Writing Code for Zero-Shot Classification
16:03 - Zero-Shot Classification Explained (Under the Hood)
17:00 - Real-Life Use Cases of Zero-Shot Classification
17:35 - Conclusion & Next Steps (Containerizing NLP on Kubernetes)
For 1:1 mentorship, consultations, or career guidance, you can book a session with me here: https://topmate.io/nikhil_kumar811/
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#nlp #huggingface #python #sentimentanalysis #ZeroShotClassification #AIonCPU #ai #ml #machinelearning