Hugging Face Transformers

Hugging Face Transformers is an open-source library designed for natural language processing (NLP) tasks. It provides a wide array of pre-trained models that facilitate tasks such as text classification, translation, summarization, and question answering. The library is built on top of popular deep learning frameworks like PyTorch and TensorFlow, making it accessible for both researchers and developers. Hugging Face Transformers simplifies the process of implementing state-of-the-art NLP models, allowing users to easily fine-tune and deploy these models in various applications, from chatbots to content generation.