What is Hugging Face?
Hugging Face is an artificial intelligence (AI) research organization that develops open-source tools and libraries for natural language processing (NLP) tasks. They are best known for their Transformers library, which provides an extensive collection of pre-trained deep learning models, including BERT, GPT-2, and T5, as well as tools to fine-tune these models for specific tasks. Hugging Face’s mission is to democratize access to cutting-edge AI technology and promote research in the field of NLP.
Notable Hugging Face libraries and tools:
- Transformers: A popular Python library for pre-trained transformer models and fine-tuning tools.
- Tokenizers: A library for efficient text tokenization and preprocessing.
- Datasets: A library to access, download, and process a wide variety of NLP datasets.
- Inference API: A hosted API for using pre-trained transformer models for various NLP tasks.
- Model Hub: A platform for discovering, sharing, and deploying pre-trained transformer models.