transformers
The open-source library that provides ready-to-use implementations of virtually every major AI model for text, vision, audio, and multimodal use, letting developers run or fine-tune them without rebuilding the architecture from scratch.
View huggingface/transformers on GitHub- GitHub stars
- 168,952
- Forks
- —
- Language
- Python
Project details
- Repository
- huggingface/transformers
- Licence
- Apache-2.0
- Primary language
- Python
- Catalog status
- Available
- Catalog check
- 2026-11-13
Repository description
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Explore by topic
More tools in Models & training
- vllm
vllm-project · Apache-2.0
vLLM is an open-source engine that runs large language models fast and cheaply in production, used widely to self-host models like Llama, Qwen and DeepSeek.
- unsloth
unslothai · Apache-2.0
A free local app for running and training your own AI language and image models on your own machine.
- tokenspeed
lightseekorg · MIT
A high-speed engine for running large language model inference.
- kimi-k3-in-c
fareedkhan-dev · Apache-2.0
Lets a 2.78-trillion-parameter AI model run inference on a regular laptop with no GPU and just 8GB of RAM, by rewriting the whole inference engine in dependency-free C.
