kb-whisper-base
Built by KBLab, kb-whisper-base is an speech-and-audio model. kb-whisper-base is an open-weights audio model.
by KBLab
Best for
- automatic speech recognition
Ways to use kb-whisper-base in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your KBLab API key. osFoundry discovers kb-whisper-base 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
kb-whisper-base 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.
kb-whisper-base vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about kb-whisper-base
Is kb-whisper-base free to use?
kb-whisper-base 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 kb-whisper-base 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 kb-whisper-base locally?
Yes. kb-whisper-base is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is kb-whisper-base best at?
kb-whisper-base is well-suited to automatic speech recognition.
How do I use kb-whisper-base in osFoundry?
Paste your KBLab API key in the key dialog (or deploy the open weights for self-hostable models), assign kb-whisper-base to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by KBLab on February 14, 2025. Source: https://huggingface.co/KBLab/kb-whisper-base