Description
Hugging Face Transformers is a powerful library designed for natural language processing (NLP) and deep learning applications. It provides pre-trained models for tasks such as text classification, question answering, machine translation, summarization, and text generation. The library supports both PyTorch and TensorFlow, offering a flexible and user-friendly API for researchers and developers. Hugging Face also enables transfer learning, allowing users to fine-tune models on their own datasets with minimal coding. With an active community and extensive model hub, Hugging Face has become a leading tool for building and deploying state-of-the-art AI applications efficiently.
