Hugging Face Transformers is built on top of PyTorch, a popular deep learning framework, and provides a range of high-level APIs for working with pre-trained models. The library also provides tools for fine-tuning pre-trained models on custom datasets, enabling developers to adapt pre-trained models to their specific use cases.
One of the key features of Hugging Face Transformers is its support for state-of-the-art NLP models, including the BERT, GPT-2, and RoBERTa models. These models have achieved state-of-the-art performance on a wide range of NLP tasks, and are widely used in research and industry.
Hugging Face Transformers also provides a range of tools for working with language models, including tools for generating text, completing text, and translating text between languages. These tools enable developers to build a wide range of NLP applications, including chatbots, virtual assistants, and language translation systems.
Overall, Hugging Face Transformers is a powerful library for NLP that provides a range of pre-trained models and tools for building and deploying NLP applications. Its support for state-of-the-art NLP models, its ease of use, and its integration with PyTorch make it a popular choice among developers and researchers in the NLP community.