wav2vec2_ASV_deepfake_audio_detection
Bisher's wav2vec2_ASV_deepfake_audio_detection is a speech-and-audio model. wav2vec2_ASV_deepfake_audio_detection is an open-weights audio model.
by Bisher
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Ways to use wav2vec2_ASV_deepfake_audio_detection in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Bisher API key. osFoundry discovers wav2vec2_ASV_deepfake_audio_detection 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
wav2vec2_ASV_deepfake_audio_detection 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.
wav2vec2_ASV_deepfake_audio_detection vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about wav2vec2_ASV_deepfake_audio_detection
Is wav2vec2_ASV_deepfake_audio_detection free to use?
wav2vec2_ASV_deepfake_audio_detection 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 wav2vec2_ASV_deepfake_audio_detection 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 wav2vec2_ASV_deepfake_audio_detection locally?
Yes. wav2vec2_ASV_deepfake_audio_detection is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is wav2vec2_ASV_deepfake_audio_detection best at?
wav2vec2_ASV_deepfake_audio_detection is well-suited to audio classification.
How do I use wav2vec2_ASV_deepfake_audio_detection in osFoundry?
Paste your Bisher API key in the key dialog (or deploy the open weights for self-hostable models), assign wav2vec2_ASV_deepfake_audio_detection to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Bisher on August 20, 2024. Source: https://huggingface.co/Bisher/wav2vec2_ASV_deepfake_audio_detection