en_skillner
nestauk's en_skillner is a chat model. en_skillner is an open-weights chat model.
by nestauk
Best for
Ways to use en_skillner in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your nestauk API key. osFoundry discovers en_skillner 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
en_skillner 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.
en_skillner vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about en_skillner
Is en_skillner free to use?
en_skillner 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 en_skillner 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 en_skillner locally?
Yes. en_skillner is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is en_skillner best at?
en_skillner is well-suited to token classification.
How do I use en_skillner in osFoundry?
Paste your nestauk API key in the key dialog (or deploy the open weights for self-hostable models), assign en_skillner to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by nestauk on May 3, 2024. Source: https://huggingface.co/nestauk/en_skillner