IceBERT-PoS
Built by mideind, IceBERT-PoS is an embedding model. IceBERT-PoS is an open-weights embed model.
by mideind
Best for
Ways to use IceBERT-PoS in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your mideind API key. osFoundry discovers IceBERT-PoS 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
IceBERT-PoS 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.
IceBERT-PoS vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about IceBERT-PoS
Is IceBERT-PoS free to use?
IceBERT-PoS 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 IceBERT-PoS 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 IceBERT-PoS locally?
Yes. IceBERT-PoS is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is IceBERT-PoS best at?
IceBERT-PoS is well-suited to feature extraction.
How do I use IceBERT-PoS in osFoundry?
Paste your mideind API key in the key dialog (or deploy the open weights for self-hostable models), assign IceBERT-PoS to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by mideind on June 4, 2025. Source: https://huggingface.co/mideind/IceBERT-PoS