appropriateness-classifier-multilabel
appropriateness-classifier-multilabel is a chat model from timonziegenbein, released July 29, 2024. appropriateness-classifier-multilabel is an open-weights chat model.
by timonziegenbein
Best for
Ways to use appropriateness-classifier-multilabel in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your timonziegenbein API key. osFoundry discovers appropriateness-classifier-multilabel 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
appropriateness-classifier-multilabel 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.
appropriateness-classifier-multilabel vs similar models
| Model | Org | Params | Context | Input price | Self-host |
|---|
| appropriateness-classifier-multilabel | timonziegenbein | — | — | Free (local) | Yes |
| flux.1-dev-uncensored-q4 | shauray | — | — | Free (local) | Yes |
| nomic-bert-2048 | nomic-ai | — | — | Free (local) | Yes |
| MoA-155M | reaperdoesntknow | — | — | Free (local) | Yes |
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about appropriateness-classifier-multilabel
Is appropriateness-classifier-multilabel free to use?
appropriateness-classifier-multilabel 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 appropriateness-classifier-multilabel 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 appropriateness-classifier-multilabel locally?
Yes. appropriateness-classifier-multilabel is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is appropriateness-classifier-multilabel best at?
appropriateness-classifier-multilabel is well-suited to text classification.
How do I use appropriateness-classifier-multilabel in osFoundry?
Paste your timonziegenbein API key in the key dialog (or deploy the open weights for self-hostable models), assign appropriateness-classifier-multilabel to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by timonziegenbein on July 29, 2024. Source: https://huggingface.co/timonziegenbein/appropriateness-classifier-multilabel