tennis-ball-detection
tennis-ball-detection is a chat model from RJTPP, released May 30, 2025. tennis-ball-detection is an open-weights chat model.
by RJTPP
Best for
Ways to use tennis-ball-detection in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your RJTPP API key. osFoundry discovers tennis-ball-detection automatically — assign it to a Maestro role (router, direct, orchestrator, or fallback) in the Pipeline tab and it is live in every chat. Your key, your provider account — no token markup.
Deploy a dedicated endpoint
tennis-ball-detection is open-weights — run it locally for free, or deploy a dedicated GPU endpoint in your workspace for reserved capacity with no rate limits.
Use it in a Room App
Room Apps declare AI features in their manifest, then call them with invokeAI:
import { invokeAI } from '@osfoundry/app-sdk'
// 'summarize' is an AI feature declared in your app manifest.
const result = await invokeAI('summarize', userText)
Call it from your own apps
Once a model is wired into your workspace you can host it as an API and reach it from your own services, scripts, or CI — outside osFoundry.
tennis-ball-detection vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about tennis-ball-detection
Is tennis-ball-detection free to use?
tennis-ball-detection is free to run locally on your own hardware. Hosted access through osFoundry is metered (input Free (local), output Free (local)). You can switch between local and hosted at any time.
Can I use tennis-ball-detection commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
Can I run tennis-ball-detection locally?
Yes. tennis-ball-detection is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is tennis-ball-detection best at?
tennis-ball-detection is well-suited to object detection.
How do I use tennis-ball-detection in osFoundry?
Paste your RJTPP API key in the key dialog (or deploy the open weights for self-hostable models), assign tennis-ball-detection to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by RJTPP on May 30, 2025. Source: https://huggingface.co/RJTPP/tennis-ball-detection