test-w2v-bert-dummy
test-w2v-bert-dummy is a embedding model from taiqihe, released January 7, 2025. test-w2v-bert-dummy is an open-weights embed model.
by taiqihe
Best for
Ways to use test-w2v-bert-dummy in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your taiqihe API key. osFoundry discovers test-w2v-bert-dummy 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
test-w2v-bert-dummy 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.
test-w2v-bert-dummy vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about test-w2v-bert-dummy
Is test-w2v-bert-dummy free to use?
test-w2v-bert-dummy 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 test-w2v-bert-dummy 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 test-w2v-bert-dummy locally?
Yes. test-w2v-bert-dummy is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is test-w2v-bert-dummy best at?
test-w2v-bert-dummy is well-suited to feature extraction.
How do I use test-w2v-bert-dummy in osFoundry?
Paste your taiqihe API key in the key dialog (or deploy the open weights for self-hostable models), assign test-w2v-bert-dummy to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by taiqihe on January 7, 2025. Source: https://huggingface.co/taiqihe/test-w2v-bert-dummy