Hugging Face
Hugging Face is a leading platform in the field of artificial intelligence, particularly known for its contributions to Natural Language Processing (NLP). Founded in 2017, Hugging Face has become a key provider of open-source libraries and pre-trained models, making advanced AI technologies accessible to developers and researchers worldwide. The platform hosts a vast collection of models, datasets, and tools that facilitate the implementation of machine learning solutions across various applications .
Hugging Face's Model Hub is a repository where users can find and share pre-trained models. It supports over 500,000 model checkpoints across different modalities, including text, audio, and computer vision. Users can easily search for models tailored to specific tasks using filters for tasks, libraries, and languages .
Hugging Face Transformers library is a cornerstone of Hugging Face, providing a unified API for working with state-of-the-art models. It simplifies the process of using complex models by offering high-level pipelines that handle pre-processing and post-processing steps, making it easier for users to implement NLP tasks such as text classification, translation, and summarization .
