xlm-r-argumentClassification-hindi
fromdeath2morning's xlm-r-argumentClassification-hindi is a chat model. xlm-r-argumentClassification-hindi is an open-weights chat model.
by fromdeath2morning
Best for
Ways to use xlm-r-argumentClassification-hindi in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your fromdeath2morning API key. osFoundry discovers xlm-r-argumentClassification-hindi 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
xlm-r-argumentClassification-hindi 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.
xlm-r-argumentClassification-hindi vs similar models
| Model | Org | Params | Context | Input price | Self-host |
|---|
| xlm-r-argumentClassification-hindi | fromdeath2morning | — | — | Free (local) | Yes |
| phobert-base-vinli-ph | dtran612 | — | — | Free (local) | Yes |
| OpenSonnet-Lite | hadadxyz | — | — | Free (local) | Yes |
| r | weedyweed | — | — | Free (local) | Yes |
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about xlm-r-argumentClassification-hindi
Is xlm-r-argumentClassification-hindi free to use?
xlm-r-argumentClassification-hindi 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 xlm-r-argumentClassification-hindi 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 xlm-r-argumentClassification-hindi locally?
Yes. xlm-r-argumentClassification-hindi is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is xlm-r-argumentClassification-hindi best at?
xlm-r-argumentClassification-hindi is well-suited to token classification.
How do I use xlm-r-argumentClassification-hindi in osFoundry?
Paste your fromdeath2morning API key in the key dialog (or deploy the open weights for self-hostable models), assign xlm-r-argumentClassification-hindi to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by fromdeath2morning on May 2, 2026. Source: https://huggingface.co/fromdeath2morning/xlm-r-argumentClassification-hindi