Hugging Face is a free, open-source platform for building, training, and deploying machine learning (ML) models. It provides open-source tools, datasets, and models, making AI development more accessible.

Features

• Transformers Library – Pre-trained NLP models like BERT, GPT, and T5.
• Model Hub – A vast repository of AI models for NLP, vision, and audio.
• Datasets & Tokenizers – Ready-to-use datasets and efficient tokenization tools.
• AutoTrain – No-code AI model fine-tuning.
• Inference API – Easy model deployment and integration.

Benefits

• Saves development time with pre-trained models.
• Enables fast experimentation and fine-tuning.
• Supports multiple frameworks (PyTorch, TensorFlow, JAX).
• Encourages community collaboration with open-source contributions.

History

• Founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf.
• Originally developed a chatbot app for teenagers.
• In 2021, Hugging Face launched BigScience Research Workshop in collaboration with several research groups.
• In 2022, this collaboration resulted in BLOOM, a model language with 176 billion parameters.

You can find more about Hugging Face on About Hugging Face.