whisper-small-sinhala_v3
Lingalingeswaran's whisper-small-sinhala_v3 is a speech-and-audio model. whisper-small-sinhala_v3 is an open-weights audio model.
by Lingalingeswaran
Best for
- automatic speech recognition
Ways to use whisper-small-sinhala_v3 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Lingalingeswaran API key. osFoundry discovers whisper-small-sinhala_v3 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-small-sinhala_v3 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-small-sinhala_v3 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about whisper-small-sinhala_v3
Is whisper-small-sinhala_v3 free to use?
whisper-small-sinhala_v3 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-small-sinhala_v3 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-small-sinhala_v3 locally?
Yes. whisper-small-sinhala_v3 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is whisper-small-sinhala_v3 best at?
whisper-small-sinhala_v3 is well-suited to automatic speech recognition.
How do I use whisper-small-sinhala_v3 in osFoundry?
Paste your Lingalingeswaran API key in the key dialog (or deploy the open weights for self-hostable models), assign whisper-small-sinhala_v3 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Lingalingeswaran on January 26, 2025. Source: https://huggingface.co/Lingalingeswaran/whisper-small-sinhala_v3