The 5 Most Under-Rated Tools on Hugging Face

tl;dr The Hugging Face Hub has a number of tools and integrations that are often overlooked that can make it easier to build many types of AI solutions

The Hugging Face Hub boasts over 850K public models, with ~50k new ones added every month, and that just seems to be climbing higher and higher. We also offer an Enterprise Hub subscription that unlocks compliance, security, and governance features, along with additional compute capacities on inference endpoints for production-level inference and more hardware options for doing demos on Spaces.

The Hugging Face Hub allows broad usage since you have diverse hardware, and you can run almost anything you want in Docker Spaces. I’ve noticed we have a number of features that are unsung (listed below). In the process of creating a semantic search application on the Hugging Face hub I took advantage of all of these features to implement various parts of the solution. While I think the final application (detailed in this org reddit-tools-HF), is compelling, I'd like to use this example to show how you can apply them to your own projects.

• ZeroGPU - How can I use a free GPU?
• Multi-process Docker - How can I solve 2 (n) problems in 1 space?
• Gradio API - How can I make multiple spaces work together?
• Webhooks - How can I trigger events in a space based on the hub changes?
• Nomic Atlas - A feature-rich semantic search (visual and text based)

Use-Case

An automatically updated, visually enabled, semantic search for a dynamic data source, for free

It’s easy to imagine multiple scenarios where this is useful:

• E-commerce platforms that are looking to handle their many products based on descriptions or reported issues
• Law firms and compliance departments who need to comb through legal documents or regulations
• Researchers who have to keep up with new advances and find relevant papers or articles for their needs

Figure 1: Project Flow clickable version here

*I used nomic-ai/nomic-embed-text-v1.5 to generate the embeddings for a few reasons: