Training and running artificial intelligence models
Developed by Hugging Face, Transformers is a library used to train and run state-of-the-art machine learning models on different data types such as text, images, and audio. It provides developers with access to popular artificial intelligence models and the opportunity to fine-tune them.
Updates
- August 27, 2026: Stars 164,253 → 164,497, latest release v5.16.1 (August 26, 2026).
- August 19, 2026: Stars 163,881 → 164,253, latest release v5.15.1 (August 19, 2026).
- August 12, 2026: Stars 163,880 → 163,881, latest release v5.15.0 (August 10, 2026).
What you get
- Provides access to text, image and sound models.
- It makes it easier to fine-tune models.
- It offers rapid development with its wide model library.
Installation
git clone https://github.com/huggingface/transformers.git
cd transformers
# pip
pip install '.[torch]'
# uv
uv pip install '.[torch]'If you don't write code
I want to run a text rendering model using the Transformers library. How can I get started quickly using the Pipeline API? Can you help with step by step code example and explanation?
Related dictionary terms
Links
TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-08-12: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. This page was machine-translated from the Turkish original · the Turkish version prevails.