distilhubert-finetuned-audio-deepfake-in-the-wild
distilhubert-finetuned-audio-deepfake-in-the-wild (Om-Parab, 2025) is an speech-and-audio model. distilhubert-finetuned-audio-deepfake-in-the-wild is an open-weights audio model.
by Om-Parab
Best for
Ways to use distilhubert-finetuned-audio-deepfake-in-the-wild in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Om-Parab API key. osFoundry discovers distilhubert-finetuned-audio-deepfake-in-the-wild 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
distilhubert-finetuned-audio-deepfake-in-the-wild 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.
distilhubert-finetuned-audio-deepfake-in-the-wild vs similar models
| Model | Org | Params | Context | Input price | Self-host |
|---|
| distilhubert-finetuned-audio-deepfake-in-the-wild | Om-Parab | — | — | Free (local) | Yes |
| YarnGPT | saheedniyi | — | — | Free (local) | Yes |
| SYMPHONY-ASR | okestro-ai-lab | — | — | Free (local) | Yes |
| whisper-medium-wolof | Alwaly | — | — | Free (local) | Yes |
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about distilhubert-finetuned-audio-deepfake-in-the-wild
Is distilhubert-finetuned-audio-deepfake-in-the-wild free to use?
distilhubert-finetuned-audio-deepfake-in-the-wild 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 distilhubert-finetuned-audio-deepfake-in-the-wild 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 distilhubert-finetuned-audio-deepfake-in-the-wild locally?
Yes. distilhubert-finetuned-audio-deepfake-in-the-wild is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is distilhubert-finetuned-audio-deepfake-in-the-wild best at?
distilhubert-finetuned-audio-deepfake-in-the-wild is well-suited to audio classification.
How do I use distilhubert-finetuned-audio-deepfake-in-the-wild in osFoundry?
Paste your Om-Parab API key in the key dialog (or deploy the open weights for self-hostable models), assign distilhubert-finetuned-audio-deepfake-in-the-wild to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Om-Parab on April 9, 2025. Source: https://huggingface.co/Om-Parab/distilhubert-finetuned-audio-deepfake-in-the-wild