🤗 Hugging Face Practical Course – LoopKaka

🎯 Course Approach:
80% Practical | 20% Concepts

• Hugging Face Models
• Hugging Face Datasets
• Transformers Library
• Diffusers (Image Generation)
• Model Fine-Tuning
• Deploying AI Apps using Hugging Face Spaces

📌 Requirements

• Python
• APIs
• Basic programming concepts

🚀 Who Should Take This Course?

• Python developers
• Backend developers
• AI / ML beginners
• Developers interested in building AI applications
• Anyone who wants to learn Hugging Face practically

📚 Course Playlist

🧭 Course Roadmap

Episode 1 – Hugging Face Introduction

• What is Hugging Face?
• Why it is popular in the AI ecosystem
• Overview of Models, Datasets, and Spaces

Episode 2 – Environment Setup & Tools

• Project setup
• Jupyter Notebook setup
• Google Colab setup
• Creating Hugging Face access token

Episode 3 – Hugging Face Cache Explained

• How Hugging Face caching works
• Where models are stored locally
• How to clear cache

Episode 4 – Working with Datasets

• Hugging Face Datasets library
• Loading datasets
• Processing datasets
• Pushing datasets to Hugging Face Hub

Episode 5 – Transformers Basics & NLP Pipelines

• Introduction to Transformers library
• Understanding Tokenizers
• Using NLP pipelines
• Text classification
• Question answering
• Text generation

Episode 6 – Diffusers Library & Image Generation

• Introduction to Diffusers
• Running image generation models
• Understanding Stable Diffusion
• Practical implementation

Episode 7 – Model Fine-Tuning

• Understanding model fine-tuning
• Preparing custom JSON dataset
• Training a model using LoRA / PEFT
• Pushing fine-tuned model to Hugging Face Hub

Episode 8 – Deploy AI App to Hugging Face Spaces

• Using the fine-tuned model
• Building a chatbot using Streamlit
• Deploying the application to Hugging Face Spaces

🛠 Technologies Used

• Python
• Hugging Face Transformers
• Hugging Face Datasets
• Hugging Face Diffusers
• PyTorch
• Streamlit
• Google Colab

🎯 What You Will Build

• Work with real Hugging Face models
• Process datasets
• Generate images using AI
• Fine-tune your own AI model
• Deploy a chatbot application

📢 Connect with LoopKaka

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• ⭐ Star this repository
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