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Getting Started with HuggingFace Transformers - Pipeline, Tokenizer, and Model Development

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Overview

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Learn essential concepts of HuggingFace Transformers library in this 16-minute tutorial video covering the foundational architecture behind popular Large Language Models like ChatGPT and LLAMA. Master practical implementation aspects including library installation, working with pipelines, creating custom pipelines, understanding AutoClass functionality, and handling tokenizers. Explore model operations, saving techniques, and utilizing the HuggingFace Hub effectively. Gain hands-on experience through accompanying code examples available in the provided GitHub repository, enabling you to start training and fine-tuning your own language models. Perfect for developers looking to implement transformer-based models in their machine learning projects.

Syllabus

- Intro
- Installation
- Pipeline
- Create Custom Pipeline
- AutoClass
- Tokenizer
- Model
- Saving the Model
- HuggingFace Hub
- Extro

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