Hands-On-Large-Language-Models vs transformers
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| Hands-On-Large-Language-Models | transformers | |
|---|---|---|
| Tagline | Code repository for Hands-On Large Language Models | 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models |
| Stars | 27k | 162k |
| Forks | 6.4k | 34k |
| Open issues | 37 | 2.5k |
| Language | Jupyter Notebook | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last pushed | Apr 24, 2026 | Jul 7, 2026 |
| Categories | Developer Tools, LLM Frameworks | Data & Retrieval, Model Training, LLM Frameworks |
Hands-On-Large-Language-Models
This repository contains the code and Jupyter Notebook examples from Jay Alammar and Maarten Grootendorst’s O'Reilly publication 'Hands-On Large Language Models', providing practical insights into using Large Language Models.
Jupyter Notebook
transformers
Repo hosts a Python library and framework for NLP, text, audio, vision, multimodal AI model creation, training and inference using PyTorch.
Python