Wav2vecLarge_quran_syllables_recognition
Wav2vecLarge_quran_syllables_recognition (IbrahimSalah, 2024) is an speech-and-audio model. Wav2vecLarge_quran_syllables_recognition is an open-weights audio model.
by IbrahimSalah
Best for
- automatic speech recognition
Ways to use Wav2vecLarge_quran_syllables_recognition in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your IbrahimSalah API key. osFoundry discovers Wav2vecLarge_quran_syllables_recognition 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
Wav2vecLarge_quran_syllables_recognition 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.
Wav2vecLarge_quran_syllables_recognition vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Wav2vecLarge_quran_syllables_recognition
Is Wav2vecLarge_quran_syllables_recognition free to use?
Wav2vecLarge_quran_syllables_recognition 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 Wav2vecLarge_quran_syllables_recognition 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 Wav2vecLarge_quran_syllables_recognition locally?
Yes. Wav2vecLarge_quran_syllables_recognition is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Wav2vecLarge_quran_syllables_recognition best at?
Wav2vecLarge_quran_syllables_recognition is well-suited to automatic speech recognition.
How do I use Wav2vecLarge_quran_syllables_recognition in osFoundry?
Paste your IbrahimSalah API key in the key dialog (or deploy the open weights for self-hostable models), assign Wav2vecLarge_quran_syllables_recognition to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by IbrahimSalah on March 24, 2024. Source: https://huggingface.co/IbrahimSalah/Wav2vecLarge_quran_syllables_recognition