whisper-large-v3-Tarteel
IJyad's whisper-large-v3-Tarteel is a speech-and-audio model. whisper-large-v3-Tarteel is an open-weights audio model.
by IJyad
Best for
- automatic speech recognition
Ways to use whisper-large-v3-Tarteel in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your IJyad API key. osFoundry discovers whisper-large-v3-Tarteel 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
whisper-large-v3-Tarteel 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.
whisper-large-v3-Tarteel vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about whisper-large-v3-Tarteel
Is whisper-large-v3-Tarteel free to use?
whisper-large-v3-Tarteel 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 whisper-large-v3-Tarteel 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 whisper-large-v3-Tarteel locally?
Yes. whisper-large-v3-Tarteel is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is whisper-large-v3-Tarteel best at?
whisper-large-v3-Tarteel is well-suited to automatic speech recognition.
How do I use whisper-large-v3-Tarteel in osFoundry?
Paste your IJyad API key in the key dialog (or deploy the open weights for self-hostable models), assign whisper-large-v3-Tarteel to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by IJyad on June 3, 2025. Source: https://huggingface.co/IJyad/whisper-large-v3-Tarteel