Shypd.aiThe largest open index of AI toolsTransformers is an open-source framework that provides state-of-the-art machine learning models for text, vision, audio, and multimodal tasks. It centralizes model definitions for both inference and training, supporting various frameworks and engines.
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Transformers, developed by Hugging Face, is a comprehensive open-source library that serves as a model-definition framework for state-of-the-art machine learning models. It supports a wide array of modalities including text, computer vision, audio, video, and multimodal applications, facilitating both inference and training. The library is designed to democratize the use of advanced models by providing simple, customizable, and efficient definitions compatible with major training frameworks like PyTorch-Lightning and inference engines such as vLLM. With over 1 million model checkpoints available on the Hugging Face Hub, users can quickly get started with tasks like text generation, automatic speech recognition, and image classification using its high-level Pipeline API. It aims to reduce compute costs and carbon footprint by encouraging the sharing of trained models.
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