vits_rasa_13
Built by ai4bharat, vits_rasa_13 is an speech-and-audio model. vits_rasa_13 is an open-weights audio model.
by ai4bharat
Best for
Ways to use vits_rasa_13 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your ai4bharat API key. osFoundry discovers vits_rasa_13 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
vits_rasa_13 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.
vits_rasa_13 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about vits_rasa_13
Is vits_rasa_13 free to use?
vits_rasa_13 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 vits_rasa_13 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 vits_rasa_13 locally?
Yes. vits_rasa_13 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is vits_rasa_13 best at?
vits_rasa_13 is well-suited to text to speech.
How do I use vits_rasa_13 in osFoundry?
Paste your ai4bharat API key in the key dialog (or deploy the open weights for self-hostable models), assign vits_rasa_13 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by ai4bharat on December 31, 2024. Source: https://huggingface.co/ai4bharat/vits_rasa_13