Natural Language Processing – Transformers with Hugging Face
English | Tutorial | Size: 666.5 MB
In this 3 hr course, learn to leverage Transformers for powerful NLP applications using Hugging Face’s library. You’ll explore topics like sentiment analysis, text generation, and summarization, combining theory with practical Python coding to build real-world systems.
What I will be able to do after this course
Gain an understanding of RNNs and attention mechanisms to underpin modern NLP approaches.
Develop skills in implementing text analytics tasks including sentiment detection and generation.
Learn to utilize embeddings and execute semantic search functionalities.
Create and fine-tune models for text summarization and translation.
Master advanced NLP techniques such as masked language modeling and zero-shot classification.
Course Instructor(s)
Lazy Programmer, an experienced AI educator, specializes in simplifying complex topics. With a rich background in machine learning and natural language processing, they focus on practical applications. This course emphasizes clear explanations and step-by-step hands-on Python exercises to ensure you master the skills.
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