Playground
CommunityJev Demos & Experiments
Decima Playground
A Hugging Face Space for the Decima decision model: choose a preset or write your own question, list possible answers, and paste any text you want the model to consider. The app then shows the probability for each answer.
- Format
- Playground
- Reading time
- 2 min
- Published by
- Community
- Author
- amyrmahdy
- Last verified
- Oct 2026
Used inJev for Software & DevTools
- Platforms
- Browser
Highlights
- Preset or custom questions: you list possible answers and paste any text for the model to consider.
- The app shows the probability for each answer so you can pick the most likely option.
- A Hugging Face Space by amyrmahdy; it was running at fetch time with 0 likes.
Watch out
The Space page was client-rendered on 2026-10-15, so only the title and meta description were readable. No licence, latency, accuracy or pricing details are in the digest, and the app showed 0 likes at fetch time.
Questions about this entry
Short answers drawn from the linked project or page.
A Hugging Face Space by amyrmahdy for trying the Decima decision model in the browser: you choose a preset or write your own question, list possible answers, and paste any text you want the model to consider.
The probability for each answer, per the Space's meta description, so you can pick the most likely option. It does not generate prose; it returns a distribution over the answers you supply.
No. It runs as a hosted Space in the browser. The digest did not capture hardware or runtime details because the page is client-rendered.
The Space is publicly listed and was running at fetch time with 0 likes. The digest contains no pricing information, and the Space's own description is the only grounded text.
It is the interactive playground for Decima by amyrmahdy; the model itself is distributed separately from this Space. The digest does not describe how the Space calls the model.
The page is client-rendered: the fetched text contained only the title and running status. Anything beyond the description has to come from opening the Space in a browser.
Treat it as a demo. The digest has no accuracy, calibration, latency or licence information for the Space, so validate the model's probabilities on your own cases before acting on them.
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