Whisper_Largev2-Swahili-Decodis_Comb_FT
Released by RafatK in 2025, Whisper_Largev2-Swahili-Decodis_Comb_FT is an speech-and-audio model. Whisper_Largev2-Swahili-Decodis_Comb_FT is an open-weights audio model.
by RafatK
Best for
- automatic speech recognition
Ways to use Whisper_Largev2-Swahili-Decodis_Comb_FT in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your RafatK API key. osFoundry discovers Whisper_Largev2-Swahili-Decodis_Comb_FT 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_Largev2-Swahili-Decodis_Comb_FT 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_Largev2-Swahili-Decodis_Comb_FT vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Whisper_Largev2-Swahili-Decodis_Comb_FT
Is Whisper_Largev2-Swahili-Decodis_Comb_FT free to use?
Whisper_Largev2-Swahili-Decodis_Comb_FT 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_Largev2-Swahili-Decodis_Comb_FT 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_Largev2-Swahili-Decodis_Comb_FT locally?
Yes. Whisper_Largev2-Swahili-Decodis_Comb_FT is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Whisper_Largev2-Swahili-Decodis_Comb_FT best at?
Whisper_Largev2-Swahili-Decodis_Comb_FT is well-suited to automatic speech recognition.
How do I use Whisper_Largev2-Swahili-Decodis_Comb_FT in osFoundry?
Paste your RafatK API key in the key dialog (or deploy the open weights for self-hostable models), assign Whisper_Largev2-Swahili-Decodis_Comb_FT to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by RafatK on May 21, 2025. Source: https://huggingface.co/RafatK/Whisper_Largev2-Swahili-Decodis_Comb_FT