Mastering Hugging Face Transformers: Text to Multimodal AI
What if you could build state-of-the-art AI models for text, images, and audio with just a few lines of Python? Transformers acts as the model-definition framework for state-of-the-art machine learning with text, computer vision, audio, video, and multimodal models, for both inference and training. It supports a wide range of languages including English, 简体中文, 繁體中文, 한국어, Español, 日本語, हिन्दी, Русский, Português, తెలుగు, Français, Deutsch, Italiano, Tiếng Việt, العربية, اردو, বাংলা, and فارسی, making it accessible to developers and researchers worldwide. Introduction to 🤗 Transformers The 🤗 Transformers library, developed by Hugging Face, is an open-source Python library designed to provide state-of-the-art machine learning models for natural language processing (NLP), computer vision, and audio tasks. Its mission is to democratize access to cutting-edge AI by offering a unified, easy-to-use interface for thousands of pre-trained models, enabling researchers and developers t...