physbert_cased
Built by thellert, physbert_cased is an embedding model. physbert_cased is an open-weights embed model.
by thellert
Best for
Ways to use physbert_cased in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your thellert API key. osFoundry discovers physbert_cased 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
physbert_cased 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.
physbert_cased vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about physbert_cased
Is physbert_cased free to use?
physbert_cased 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 physbert_cased 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 physbert_cased locally?
Yes. physbert_cased is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is physbert_cased best at?
physbert_cased is well-suited to feature extraction.
How do I use physbert_cased in osFoundry?
Paste your thellert API key in the key dialog (or deploy the open weights for self-hostable models), assign physbert_cased to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by thellert on August 19, 2024. Source: https://huggingface.co/thellert/physbert_cased