huggingface/transformers
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.
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HuggingFace
huggingface • ai-lab
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Oct 29, 2018
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Hugging Face Transformers is a comprehensive Python library that provides thousands of pre-trained models for natural language processing, computer vision, audio, and multimodal tasks. The library offers a unified API for both PyTorch, TensorFlow, and JAX frameworks, enabling easy model inference and training. It includes state-of-the-art transformer architectures like BERT, GPT, T5, and many others with simple three-line code examples for quick implementation.
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Updated 27 days ago
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- Project created
- Oct 29, 2018
- Forked
- Mar 14, 2026
- Your last push
- 27 days ago
- Upstream last push
- 6 days ago
- Tracked since
- Mar 17, 2026
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