bert-baseline
Nastik05's bert-baseline is a chat model. bert-baseline is an open-weights chat model.
by Nastik05
Best for
Ways to use bert-baseline in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Nastik05 API key. osFoundry discovers bert-baseline 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
bert-baseline 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.
bert-baseline vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about bert-baseline
Is bert-baseline free to use?
bert-baseline 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 bert-baseline 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 bert-baseline locally?
Yes. bert-baseline is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is bert-baseline best at?
bert-baseline is well-suited to token classification.
How do I use bert-baseline in osFoundry?
Paste your Nastik05 API key in the key dialog (or deploy the open weights for self-hostable models), assign bert-baseline to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Nastik05 on April 25, 2026. Source: https://huggingface.co/Nastik05/bert-baseline