Transformers Library
Transformers Library
The Transformers library is Hugging Face's flagship open-source library that democratizes access to state-of-the-art machine learning models.
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Key Features
- 100+ Architectures: BERT, GPT, T5, CLIP, Whisper, and more
- Framework Agnostic: Works with PyTorch, TensorFlow, and JAX
- Easy to Use: Simple APIs for inference and fine-tuning
- Production Ready: Optimized for both research and production
- Multilingual Support: Models for 100+ languages
AI-Assisted Development Features
- Code Generation: Models like CodeT5, CodeBERT for code tasks
- Documentation Generation: Automatic code documentation
- Code Completion: Integration with IDEs for intelligent code completion
- Bug Detection: Models trained to identify potential code issues
- Code Translation: Convert code between programming languages
Installation
pip install transformers
Quick Start
from transformers import pipeline
classifier = pipeline('sentiment-analysis')
classifier('Hello world!')