careerlake-ner-skill
Built by zikay3624, careerlake-ner-skill is an chat model. careerlake-ner-skill is an open-weights chat model.
by zikay3624
Best for
Ways to use careerlake-ner-skill in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your zikay3624 API key. osFoundry discovers careerlake-ner-skill 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
careerlake-ner-skill 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.
careerlake-ner-skill vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about careerlake-ner-skill
Is careerlake-ner-skill free to use?
careerlake-ner-skill 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 careerlake-ner-skill 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 careerlake-ner-skill locally?
Yes. careerlake-ner-skill is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is careerlake-ner-skill best at?
careerlake-ner-skill is well-suited to token classification.
How do I use careerlake-ner-skill in osFoundry?
Paste your zikay3624 API key in the key dialog (or deploy the open weights for self-hostable models), assign careerlake-ner-skill to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by zikay3624 on April 27, 2026. Source: https://huggingface.co/zikay3624/careerlake-ner-skill