Hugging Face is a platform focused on collaboration within the AI community. Professionals in the field of machine learning work on models, datasets, and applications here. The platform offers the following main features:

1. Browse Models: With over 250,000 models, Hugging Face provides a wide range of options, including leaderboards, music generation, and specific models for various hardware.
2. Browse Applications: There are over 100,000 applications developed by the community.
3. Browse Datasets: With over 50,000 datasets, Hugging Face is a place where you can find a variety of data for machine learning.
4. Collaborate and Create: The platform allows hosting and working on models, datasets, and applications. It supports various modalities such as text, image, video, audio, and even 3D.
5. Build Your Portfolio: Users can share their work and build their ML profile.
6. Accelerate Your ML: Hugging Face offers paid Compute and Enterprise solutions, including Inference Endpoints and Spaces applications, with pricing starting at $0.60 per hour for GPU and $20 per user per month for Enterprise solutions.
7. Open Source: The community is collectively building the foundation of ML tools, including state-of-the-art models for Pytorch, TensorFlow, JAX, diffusion models for image and audio generation, client libraries, fast tokenizers, and more.
8. Organizations: More than 50,000 organizations are using Hugging Face, including renowned companies and non-profit organizations such as the Allen Institute for AI, Meta AI, Amazon Web Services, Google, Intel, SpeechBrain, Microsoft, and Grammarly.

The platform places great emphasis on collaboration and offers both free and paid services to facilitate the development and implementation of AI models.