escoxlmr_knowledge_extraction
Released by jjzha in 2023, escoxlmr_knowledge_extraction is an chat model. escoxlmr_knowledge_extraction is an open-weights chat model.
by jjzha
Best for
Ways to use escoxlmr_knowledge_extraction in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your jjzha API key. osFoundry discovers escoxlmr_knowledge_extraction 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
escoxlmr_knowledge_extraction 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.
escoxlmr_knowledge_extraction vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about escoxlmr_knowledge_extraction
Is escoxlmr_knowledge_extraction free to use?
escoxlmr_knowledge_extraction 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 escoxlmr_knowledge_extraction 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 escoxlmr_knowledge_extraction locally?
Yes. escoxlmr_knowledge_extraction is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is escoxlmr_knowledge_extraction best at?
escoxlmr_knowledge_extraction is well-suited to token classification.
How do I use escoxlmr_knowledge_extraction in osFoundry?
Paste your jjzha API key in the key dialog (or deploy the open weights for self-hostable models), assign escoxlmr_knowledge_extraction to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by jjzha on November 11, 2023. Source: https://huggingface.co/jjzha/escoxlmr_knowledge_extraction