Project Title

Transformers-Tutorials — Comprehensive Jupyter Notebooks for Exploring HuggingFace's Transformers

Overview

Transformers-Tutorials is a repository of Jupyter Notebooks that serve as practical demonstrations of the Transformers library by HuggingFace. It offers a hands-on approach to understanding and implementing various Transformer models in PyTorch, making it an invaluable resource for developers looking to leverage these models in their projects.

Key Features

Collection of Jupyter Notebooks for different Transformer models
Implementations in PyTorch
Detailed tutorials for audio classification, NER, multi-label text classification, and more
Integration with HuggingFace's ecosystem of tools

Use Cases

Researchers and developers looking to understand and implement Transformer models
Educators needing practical examples for teaching NLP and deep learning
Data scientists exploring state-of-the-art models for audio and text analysis

Advantages

Easy-to-follow, practical tutorials that demystify complex models
Covers a wide range of applications, from audio classification to text classification
Utilizes the popular Transformers library, which is well-maintained and widely used in the industry

Limitations / Considerations

The tutorials are based on PyTorch, which may not be suitable for those preferring other frameworks
The repository is continuously updated, so some notebooks might be more comprehensive than others
Requires a basic understanding of Python and machine learning concepts

HuggingFace Transformers: The official library from which these tutorials are derived, offering a broader range of models and functionalities.
NLP-Models: A collection of state-of-the-art models for NLP tasks, which can be used in conjunction with Transformers-Tutorials for a more comprehensive understanding.
fastai: A library that simplifies training fast and accurate neural nets using modern best practices, offering an alternative approach to deep learning.

Basic Information

GitHub: https://github.com/NielsRogge/Transformers-Tutorials
Stars: 11,175
License: Unknown
Last Commit: 2025-08-20

📊 Project Information

Project Name: Transformers-Tutorials
GitHub URL: https://github.com/NielsRogge/Transformers-Tutorials
Programming Language: Jupyter Notebook
⭐ Stars: 11,175
🍴 Forks: 1,661
📅 Created: 2020-08-31
🔄 Last Updated: 2025-08-20

🏷️ Project Topics

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🎥 Video Tutorials

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Transformers-Tutorials

Project Description