Natural Language Processing - Transformers with Hugging Face
Harnessing the Power of Transformers for NLP with Hugging Face
Created by Lazy Programmer
Explore the world of Natural Language Processing by diving into Transformers and the Hugging Face library. You'll move from foundational concepts like RNNs and attention to practical skills for tasks such as sentiment analysis and text generation. Build confidence applying advanced NLP techniques in real-world scenarios.
Packt | Jun 2024 | 233 min
What You Will Learn
You will start by exploring the theory behind RNNs and attention mechanisms, then quickly move into hands-on coding exercises. Each topic is paired with practical Python examples, so you can immediately apply what you learn. By working through real NLP tasks, you'll develop both a strong conceptual foundation and practical skills.
Key Features
- Build and train Transformer models for tasks like sentiment analysis and text generation
- Apply embeddings, semantic search, and named entity recognition using Hugging Face tools
- Gain hands-on experience implementing NLP solutions with Python in practical projects
Target Audience
If you are a tech professional, data scientist, or AI enthusiast with basic Python and machine learning knowledge, you'll find this course a great fit. It's designed for those who want to deepen their understanding of NLP and master modern tools like Transformers and Hugging Face for real-world applications.
