huggingface/transformers
🤗 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.
From the publisher
README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
Transformers acts as the model-definition framework for state-of-the-art machine learning with text, computer vision, audio, video, and multimodal models, for both inference and training. It centralizes the model definition so that this definition is agreed upon across the ecosystem. transformers is the pivot across frameworks: if a model definition is supported, it will be compatible with the majority of training frameworks (Axolotl, Unsloth, DeepSpeed, FSDP, PyTorch-Lightning, ...), inference engines (vLLM, SGLang, TGI, ...), and adjacent modeling libraries (llama.cpp, mlx, ...) which leverage the model definition from transformers. We pledge to help support new state-of-the-art models and democratize their usage by having their model definition be simple, customizable, and efficient. There are over 1M+ Transformers model checkpoints on the Hugging Face Hub you can use. Explore the Hub today to find a model and use Transformers to help you get started right away. Transformers works with Python 3.11+, and PyTorch 2.6+.…
Read the full README ↗ · Preview checked 2026-10-29T02:36:43.268Z
Inside the original README — Document outline
- Installation
- Quickstart
- Why should I use Transformers?
- When shouldn't I use Transformers?
- 100 projects using Transformers
- Example models
- Citation
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Documentation belongs to its respective authors. Reported project/model license: Apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
What this repository does
🤗 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.
Repository facts
- Owner
- huggingface
- Primary language
- Python
- Stars
- 168,391
- Forks
- 35,059
- Open issues + pull requests
- 1,035
- License
- Apache-2.0
- Archived
- No
- Default branch
- main
- Created
- 2018-10-29T13:56:00.000Z
- Last push
- 2026-10-31T13:34:03.000Z
Topics and intended use
Owner-supplied topics: audio, deep-learning, deepseek, gemma, glm, hacktoberfest, llm, machine-learning, model-hub, natural-language-processing, nlp, pretrained-models, python, pytorch, pytorch-transformers, qwen, speech-recognition, transformer, vlm
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Source: GitHub. Metadata observed 2026-10-31T18:43:23.065Z. Daily imports are snapshots, not real-time monitoring.
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