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Framework
Transformers
The model-definition framework for state-of-the-art machine learning.
Day 43 since launch · Launched 25 August 2026
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What is Transformers?
Hugging Face Transformers is the defining open-source library for state-of-the-art machine learning models across text, vision, audio and multimodal tasks — for both inference and training, with thousands of pretrained models on the Hub.
Pros
- Industry-standard model library
- Thousands of pretrained models
- Text, vision, audio and multimodal in one API
Cons
- Large dependency footprint
- Advanced features have a learning curve
Who should use Transformers
Anyone building with pretrained or custom transformer models.
Who may not need it
Projects with simple ML needs better served by lighter tools.
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