Hugging Face Transformer Guide

Unofficial Hugging Face Transformers Guide

This app provides a comprehensive, educational guide to the Hugging Face Transformers library — the most popular open-source machine learning framework with over 130,000 GitHub stars.

**IMPORTANT DISCLAIMER:** This is an UNOFFICIAL educational resource and is NOT affiliated with, endorsed by, or connected to Hugging Face in any way. All product names, logos, and brands are property of their respective owners.

**What You'll Learn:**

📚 **8 Comprehensive Modules:**
• Introduction to Hugging Face ecosystem
• Installation & Pipeline API
• Tokenizers & Data Processing
• Text Classification (Sentiment, Topic, Toxicity)
• Text Generation & Chat (GPT, LLaMA, Chatbots)
• Computer Vision (ViT, DETR, Segmentation)
• Audio & Speech (Whisper, TTS, Diarization)
• Model Hub & Fine-Tuning (LoRA, QLoRA, Quantization)

🧠 **125 Quiz Questions** across 5 quiz sets to test your knowledge
📖 **100-Term Glossary** covering all key concepts

**Features:**
• Complete Python code examples and API usage
• Real-world project walkthroughs
• Production deployment best practices
• Model selection guides and optimization tips
• Covers NLP, Computer Vision, Audio, and Multimodal AI

**Perfect For:**
• ML engineers learning Transformers
• Data scientists exploring Hugging Face
• Students studying modern AI architectures
• Developers building NLP, vision, or audio applications
• Anyone interested in practical AI/ML techniques

Start your journey with Hugging Face Transformers today!

Recent changes:
Initial release of the Hugging Face Transformers Guide:
• 8 comprehensive learning modules covering NLP, Vision, Audio, and Fine-Tuning
• 125 quiz questions across 5 themed quiz sets
• 100-term glossary of key concepts
• Complete code examples with Python and the Transformers library
• Real-world project examples and production deployment guidance