indicconformer_stt_te_hybrid_ctc_rnnt_large
Built by ai4bharat, indicconformer_stt_te_hybrid_ctc_rnnt_large is an speech-and-audio model. indicconformer_stt_te_hybrid_ctc_rnnt_large is an open-weights audio model.
by ai4bharat
Best for
- automatic speech recognition
Ways to use indicconformer_stt_te_hybrid_ctc_rnnt_large in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your ai4bharat API key. osFoundry discovers indicconformer_stt_te_hybrid_ctc_rnnt_large 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
indicconformer_stt_te_hybrid_ctc_rnnt_large 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.
indicconformer_stt_te_hybrid_ctc_rnnt_large vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about indicconformer_stt_te_hybrid_ctc_rnnt_large
Is indicconformer_stt_te_hybrid_ctc_rnnt_large free to use?
indicconformer_stt_te_hybrid_ctc_rnnt_large 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 indicconformer_stt_te_hybrid_ctc_rnnt_large 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 indicconformer_stt_te_hybrid_ctc_rnnt_large locally?
Yes. indicconformer_stt_te_hybrid_ctc_rnnt_large is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is indicconformer_stt_te_hybrid_ctc_rnnt_large best at?
indicconformer_stt_te_hybrid_ctc_rnnt_large is well-suited to automatic speech recognition.
How do I use indicconformer_stt_te_hybrid_ctc_rnnt_large in osFoundry?
Paste your ai4bharat API key in the key dialog (or deploy the open weights for self-hostable models), assign indicconformer_stt_te_hybrid_ctc_rnnt_large 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 September 5, 2024. Source: https://huggingface.co/ai4bharat/indicconformer_stt_te_hybrid_ctc_rnnt_large