Hugging Face

Hugging Face is a comprehensive platform designed to support the machine learning community by enabling collaboration on models, datasets, and applications. The platform hosts over 400,000 models and 100,000 datasets, and is utilized by more than 50,000 organizations. Hugging Face offers a Pro Account subscription that includes advanced features such as ZeroGPU, Dev Mode for Spaces, and higher rate limits for serverless inference. The platform also provides paid Compute solutions, which include deploying on optimized Inference Endpoints and upgrading Spaces applications to a GPU, as well as Enterprise solutions that offer advanced platform features, enterprise-grade security, access controls, and dedicated support. Hugging Face supports various modalities including text, image, video, audio, and 3D, and offers a range of open-source libraries such as Transformers, Diffusers, Safetensors, Hub Python Library, Tokenizers, PEFT, and Transformers.js. Users can create and share AI applications through a feature called ‘Spaces’ and utilize a toolkit called Text Generation Inference for serving large language models. The platform also provides a variety of courses in areas like NLP, Deep RL, Computer Vision, Audio, ML for Games, Diffusion, and ML for 3D. Hugging Face collaborates with Intel to optimize AI software tools for Intel architecture and supports deploying models on Amazon SageMaker. The platform offers Inference Endpoints for deploying models on fully managed infrastructure and supports integration with AWS, Azure, and GCP for model deployment. Additionally, Hugging Face includes a feature called ‘HuggingChat’ for making AI chat models accessible to everyone and provides a range of hardware options for Spaces, from CPUs to GPUs and Accelerators. The platform also maintains a community forum for discussions and support and offers various pricing plans including free, Pro, and Enterprise Hub options.