Hugging Face Transformers

Transformers acts as a comprehensive framework for defining state-of-the-art machine learning models across text, computer vision, audio, video, and multimodal applications. It ensures compatibility across various training frameworks and inference engines, making it a pivotal tool in the AI ecosystem. Key benefits include:

• Centralized Model Definition: Ensures consistency and compatibility across multiple platforms.
• Pretrained Models: Access over 1 million models to save time, reduce costs, and minimize environmental impact.
• Optimized Inference and Training: Features like mixed precision, torch.compile, and FlashAttention enhance performance.

Transformers is designed for developers, engineers, and researchers, emphasizing fast, easy use with only three main classes. New users can benefit from a comprehensive course covering everything from fundamentals to practical applications. Join the community to collaborate on models, datasets, and access enhanced documentation.