Hugging Face Transformers
Master the Hugging Face ecosystem — pretrained models, tokenizers, fine-tuning, and the Hub
100% Free · All lessons unlocked
Course Content
Foundations
Core concepts and groundwork
Introduction to Transformers Architecture
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Attention Mechanism Fundamentals
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Self-Attention and Multi-Head Attention
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Encoder-Decoder Architecture Overview
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Understanding BERT and Its Variants
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GPT Models and Autoregressive Language Modeling
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Core Skills
Essential techniques and patterns
Tokenization Strategies and Subword Tokenization
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Positional Encoding and Embeddings
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Transfer Learning with Pretrained Models
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Foundation Concepts Review and Practice
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Setting Up Hugging Face Environment and Installation
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Loading and Using Pretrained Models
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Applied Practice
Hands-on, real-world scenarios
Working with Tokenizers from the Hub
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Fine-tuning BERT for Text Classification
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Named Entity Recognition with Transformers
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Question Answering with SQuAD Dataset
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Semantic Similarity and Sentence Embeddings
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Core Skills Checkpoint Exercise
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Advanced Topics
Deeper, more complex material
Sequence-to-Sequence Models for Translation
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Building a Complete NLP Pipeline Project
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Custom Training Loops with PyTorch
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Distributed Training and Mixed Precision
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Optimizing Model Performance and Inference Speed
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Model Quantization and Pruning Techniques
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Production & Scale
Building for the real world
Advanced Skills Assessment
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Zero-Shot and Few-Shot Learning Strategies
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Prompt Engineering and In-Context Learning
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Multi-Task Learning with Transformers
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Domain Adaptation and Transfer Learning Advanced
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Advanced Optimization Techniques
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Mastery & Capstone
Projects and final review
Vision Transformers and Multimodal Models
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Efficient Transformers and Long-Context Modeling
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Deploying Models to Production with HF Hub
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Monitoring and Evaluating Model Performance
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Capstone: Advanced Transformer Application Project
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100% Free · All lessons unlocked
Topic Overview
What you'll learn
- Core concepts and fundamentals of Hugging Face Transformers
- Industry best practices and design patterns
- Hands-on exercises with real-world scenarios
- Performance optimization and advanced techniques
- Building production-ready applications