Hugging Face Transformers

The Hugging Face Transformers library is the premier open-source Python toolkit, providing a unified API for over 1M+ state-of-the-art pre-trained models (like BERT, GPT-3, T5) across NLP, vision, and audio tasks.

Hugging Face Transformers is the essential open-source Python library for democratizing state-of-the-art machine learning. It delivers a unified, framework-agnostic API (PyTorch, TensorFlow) for accessing and utilizing over 1M+ pre-trained model checkpoints, including industry standards like BERT, GPT-2, and T5. Developers leverage the high-level `Pipeline` class for rapid, optimized inference (e.g., text generation, sentiment analysis) and the `Trainer` class for efficient fine-tuning and distributed training. This core library connects the ML community to the vast Hugging Face Hub, accelerating the deployment of models across text, vision, and audio modalities with minimal code.

https://huggingface.co/docs/transformers/index