fine-tuned-jobtitle-embed
fine-tuned-jobtitle-embed is a embedding model from lengocquangLAB, released September 10, 2025. fine-tuned-jobtitle-embed is an open-weights embed model.
by lengocquangLAB
Best for
Ways to use fine-tuned-jobtitle-embed in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your lengocquangLAB API key. osFoundry discovers fine-tuned-jobtitle-embed 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
fine-tuned-jobtitle-embed 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.
fine-tuned-jobtitle-embed vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about fine-tuned-jobtitle-embed
Is fine-tuned-jobtitle-embed free to use?
fine-tuned-jobtitle-embed 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 fine-tuned-jobtitle-embed 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 fine-tuned-jobtitle-embed locally?
Yes. fine-tuned-jobtitle-embed is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is fine-tuned-jobtitle-embed best at?
fine-tuned-jobtitle-embed is well-suited to sentence similarity.
How do I use fine-tuned-jobtitle-embed in osFoundry?
Paste your lengocquangLAB API key in the key dialog (or deploy the open weights for self-hostable models), assign fine-tuned-jobtitle-embed to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by lengocquangLAB on September 10, 2025. Source: https://huggingface.co/lengocquangLAB/fine-tuned-jobtitle-embed