yolov9-c_all
yolov9-c_all (Xenova, 2024) is an chat model. yolov9-c_all is an open-weights chat model.
by Xenova
Best for
Ways to use yolov9-c_all in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Xenova API key. osFoundry discovers yolov9-c_all 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
yolov9-c_all 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.
yolov9-c_all vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about yolov9-c_all
Is yolov9-c_all free to use?
yolov9-c_all 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 yolov9-c_all 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 yolov9-c_all locally?
Yes. yolov9-c_all is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is yolov9-c_all best at?
yolov9-c_all is well-suited to object detection.
How do I use yolov9-c_all in osFoundry?
Paste your Xenova API key in the key dialog (or deploy the open weights for self-hostable models), assign yolov9-c_all to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Xenova on February 26, 2024. Source: https://huggingface.co/Xenova/yolov9-c_all