whisper-large-v3-turbo-et-verbatim
Released by TalTechNLP in 2025, whisper-large-v3-turbo-et-verbatim is an speech-and-audio model. whisper-large-v3-turbo-et-verbatim is an open-weights audio model.
by TalTechNLP
Best for
- automatic speech recognition
Ways to use whisper-large-v3-turbo-et-verbatim in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your TalTechNLP API key. osFoundry discovers whisper-large-v3-turbo-et-verbatim 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-turbo-et-verbatim 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-turbo-et-verbatim 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-turbo-et-verbatim
Is whisper-large-v3-turbo-et-verbatim free to use?
whisper-large-v3-turbo-et-verbatim 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-turbo-et-verbatim 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-turbo-et-verbatim locally?
Yes. whisper-large-v3-turbo-et-verbatim 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-turbo-et-verbatim best at?
whisper-large-v3-turbo-et-verbatim is well-suited to automatic speech recognition.
How do I use whisper-large-v3-turbo-et-verbatim in osFoundry?
Paste your TalTechNLP API key in the key dialog (or deploy the open weights for self-hostable models), assign whisper-large-v3-turbo-et-verbatim to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by TalTechNLP on September 15, 2025. Source: https://huggingface.co/TalTechNLP/whisper-large-v3-turbo-et-verbatim