transformers
State-of-the-art machine learning model framework for text, vision, audio, and multimodal.
About 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.
✅ Pros
- + Supports multiple modalities including text, vision, and audio
- + Wide range of pre-trained models available
- + Strong community and extensive documentation
⚠️ Cons
- - Can be resource-intensive to train models
- - Steep learning curve for beginners
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Quick Info
- Pricing
- Free
- License
- Apache-2.0
- GitHub Stars
- 158,716
- Forks
- 32,719
- Language
- Python
- Platforms
- web, linux, mac, windows
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