Orpheus_TTS_Hindi_MultiSpeaker
Released by Shekharmeena in 2025, Orpheus_TTS_Hindi_MultiSpeaker is an chat model. Orpheus_TTS_Hindi_MultiSpeaker is an open-weights chat model.
by Shekharmeena
Best for
Ways to use Orpheus_TTS_Hindi_MultiSpeaker in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Shekharmeena API key. osFoundry discovers Orpheus_TTS_Hindi_MultiSpeaker 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
Orpheus_TTS_Hindi_MultiSpeaker 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.
Orpheus_TTS_Hindi_MultiSpeaker vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Orpheus_TTS_Hindi_MultiSpeaker
Is Orpheus_TTS_Hindi_MultiSpeaker free to use?
Orpheus_TTS_Hindi_MultiSpeaker 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 Orpheus_TTS_Hindi_MultiSpeaker 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 Orpheus_TTS_Hindi_MultiSpeaker locally?
Yes. Orpheus_TTS_Hindi_MultiSpeaker is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Orpheus_TTS_Hindi_MultiSpeaker best at?
Orpheus_TTS_Hindi_MultiSpeaker is well-suited to text generation.
How do I use Orpheus_TTS_Hindi_MultiSpeaker in osFoundry?
Paste your Shekharmeena API key in the key dialog (or deploy the open weights for self-hostable models), assign Orpheus_TTS_Hindi_MultiSpeaker to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Shekharmeena on September 9, 2025. Source: https://huggingface.co/Shekharmeena/Orpheus_TTS_Hindi_MultiSpeaker