multilingual-emotion-classification
multilingual-emotion-classification (tabularisai, 2026) is an chat model. multilingual-emotion-classification is an open-weights chat model.
by tabularisai
Best for
Ways to use multilingual-emotion-classification in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your tabularisai API key. osFoundry discovers multilingual-emotion-classification 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
multilingual-emotion-classification 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.
multilingual-emotion-classification vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about multilingual-emotion-classification
Is multilingual-emotion-classification free to use?
multilingual-emotion-classification 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 multilingual-emotion-classification 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 multilingual-emotion-classification locally?
Yes. multilingual-emotion-classification is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is multilingual-emotion-classification best at?
multilingual-emotion-classification is well-suited to text classification.
How do I use multilingual-emotion-classification in osFoundry?
Paste your tabularisai API key in the key dialog (or deploy the open weights for self-hostable models), assign multilingual-emotion-classification to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by tabularisai on April 14, 2026. Source: https://huggingface.co/tabularisai/multilingual-emotion-classification