faster-whisper-large-v3-turbo-ct2
deepdml's faster-whisper-large-v3-turbo-ct2 is a speech-and-audio model. faster-whisper-large-v3-turbo-ct2 is an open-weights audio model.
by deepdml
Best for
- automatic speech recognition
Ways to use faster-whisper-large-v3-turbo-ct2 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your deepdml API key. osFoundry discovers faster-whisper-large-v3-turbo-ct2 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
faster-whisper-large-v3-turbo-ct2 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.
faster-whisper-large-v3-turbo-ct2 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about faster-whisper-large-v3-turbo-ct2
Is faster-whisper-large-v3-turbo-ct2 free to use?
faster-whisper-large-v3-turbo-ct2 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 faster-whisper-large-v3-turbo-ct2 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 faster-whisper-large-v3-turbo-ct2 locally?
Yes. faster-whisper-large-v3-turbo-ct2 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is faster-whisper-large-v3-turbo-ct2 best at?
faster-whisper-large-v3-turbo-ct2 is well-suited to automatic speech recognition.
How do I use faster-whisper-large-v3-turbo-ct2 in osFoundry?
Paste your deepdml API key in the key dialog (or deploy the open weights for self-hostable models), assign faster-whisper-large-v3-turbo-ct2 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by deepdml on October 1, 2024. Source: https://huggingface.co/deepdml/faster-whisper-large-v3-turbo-ct2