Hugging Face Transformers is an open-source library designed for natural language processing (NLP) tasks using transformer architectures. It provides a wide variety of pre-trained models for tasks such as text classification, question answering, text generation, named entity recognition, and more. The library is compatible with both TensorFlow and PyTorch, making it flexible for different deep learning workflows.
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