BERT_VDA
BERT_VDA (calogero-jerik-scozzaro, 2026) is an embedding model. BERT_VDA is an open-weights embed model.
by calogero-jerik-scozzaro
Best for
Ways to use BERT_VDA in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your calogero-jerik-scozzaro API key. osFoundry discovers BERT_VDA 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
BERT_VDA 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.
BERT_VDA vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about BERT_VDA
Is BERT_VDA free to use?
BERT_VDA 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 BERT_VDA 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 BERT_VDA locally?
Yes. BERT_VDA is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is BERT_VDA best at?
BERT_VDA is well-suited to feature extraction.
How do I use BERT_VDA in osFoundry?
Paste your calogero-jerik-scozzaro API key in the key dialog (or deploy the open weights for self-hostable models), assign BERT_VDA to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by calogero-jerik-scozzaro on April 27, 2026. Source: https://huggingface.co/calogero-jerik-scozzaro/BERT_VDA