FreemiumWhat is HuggingFace?
HuggingFace is an open-source library for natural language processing (NLP) models that began in 2016. It is a popular collaborative platform for data scientists, researchers, and machine learning engineers. Users can explore and collaborate on more than 400,000 models and 100,000 datasets, covering a variety of data types. HuggingFace simplifies deployment with paid compute and enterprise solutions, allowing users to deploy models on optimized inference endpoints or update applications to run on GPUs. It actively contributes to the foundation of machine learning tooling by developing open-source projects such as transformers, diffusers, safe sensors, the Hub Python Library, and tokenizers. The company has worked on a variety of projects, including transformers for PyTorch, TensorFlow, and JAX, diffusers for image and audio generation, safe sensors for neural network weight storage and distribution, and tokenizers for tokenized text. HuggingFace is used by more than 50,000 organizations, including Microsoft, Amazon Web Services, and Intel.
