Transformers
Transformers is an open-source Python library developed by Hugging Face that provides a unified API for accessing and using over one million pretrained machine learning models. It supports a wide range of tasks across natural language processing, computer vision, audio, video, and multimodal domains. The library is designed to facilitate both inference and fine-tuning of state-of-the-art models with minimal abstractions, primarily through three core classes. It integrates with popular machine learning frameworks such as PyTorch and TensorFlow for local execution. The library is widely adopted by researchers, engineers, developers, and students for building machine learning projects without the need to train models from scratch. It offers easy installation via pip and seamless access to the Hugging Face Hub, which hosts the extensive collection of pretrained models. The community around Transformers is active, with thousands of contributors and hundreds of releases, ensuring ongoing improvements and support.
Transformers is an open-source Python library providing unified access to over one million pretrained machine learning models for diverse AI tasks.
Natural Language Processing
Perform tasks such as text generation, sentiment analysis, and question answering using pretrained language models.
Computer Vision
Apply pretrained vision models for image classification, object detection, and image captioning.
Multimodal AI Applications
Combine models handling text, images, and audio to build applications like agents that fetch images and generate captions.
pip install transformers inside a virtual environment.